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ARCHIVE 2013: Researchers and Groups, Open Positions and News

Postdoc Positions at MIT

Dec 20, 2013. The Imaging and Computing group in the Department of Mathematics at MIT invites applications for two postdoctoral positions. The areas of interest to the group include computational wave propagation, optimization, inverse problems, applied harmonic analysis, sparse and low-rank recovery, fast algorithms, seismic and radar imaging.

All the details are at

Lorentz Center Workshop Proposals

Dec 6, 2013. The Lorentz Center calls for proposals for workshops in all fields of natural and exact sciences, life sciences, computational science, and technology. The workshops may also aim to connect one or more one of these fields with the humanities and/or social sciences. The deadline for application is 15 January 2014, for workshops that will take place before May 2015.

Notice that the Lorentz Center has several collaborations:

  1. With NIAS (Netherlands Institute of Advanced Studies), to support workshops that aim at bridging the humanities/social sciences on the one hand with natural/technological sciences on the other.
  2. With NLeSC (Netherlands eSciences Center), supporting workshops related to “Big Data” challenges.
  3. With CECAM (Centre Européen de Calcule Atomique et Moléculaire), physical and chemical computational science.

Here you can find a pdf with information about our workshops. I’m happy to discuss your ideas and answer any further questions you may have about proposing a workshop. Please distribute this information to any scientist you think may be interested. Also on behalf Arjen Doelman, director of the Lorentz Center, Sincerely, Henriette Jensenius

Lorentz Center: Proposal instructions:

Research position on Ocean Data Assimilation at CMCC Italy

Dec 2, 2013. Dear Colleagues, there is an open research position on ocean data assimilation at CMCC ( in Bologna, Italy. The full call, along with the rules to apply, can be found here:

Computational Scientist / scientific programmer position in Data Assimilation and Earth System Modelling at the Laboratoire des Sciences du Climat et de l’Environment (LSCE).

Nov 25, 2013. Researchers at LSCE are developing an innovative global Carbon Cycle Data Assimilation System (CCDAS). The aim of this assimilation tool is to constrain the parameters of the land-surface model ORCHIDEE and thereby quantify and reduce the uncertainty of modelled carbon, energy and water fluxes. The candidate will join the team responsible for the development of the CCDAS and will contribute to its consolidation and improvement. Responsibilities will include the improvement of existing tools for local and global scale assimilation experiments, adaptation of the CCDAS for the use of more diverse data sources, research into the implementation of alternative optimisation algorithms, running simulations and post-processing and analysis of the assimilation results. The position is initially available for 1 year with the possibility of renewal for up to 2 years depending on satisfactory job performance.

Requirements. The candidate should have an undergraduate, and preferably master’s, degree(s) in Computational Science, Mathematics or a similar quantitative physical science, and a broad interest in natural sciences – more specifically in biogeochemistry and land-atmosphere interactions. Priority will be given to those candidates with a background in data assimilation/inversion and/or work experience in a research environment. In addition, the candidate should have expert knowledge of computing tools such as Python, FORTRAN and/or IDL programming and the UNIX system. The candidate should be highly motivated with a proven ability to be innovative, dynamic and work collaboratively with a team of scientists.

Home Institution. Laboratoire des Sciences du Climat et de l'Environnement (LSCE, Gif-sur-Yvette). LSCE is a joint research unit of the Commissariat à L’Energie Atomique (CEA), the Centre National de la Recherche Scientifique (CNRS) and Université de Versailles Saint Quentin-en-Yvelines (UVSQ). LSCE employs over 250 researchers covering 30 different nationalities. Their research mission is to contribute to a better understanding of the interactions between human activities in the Earth System, environment and climate dynamics at different time scales. Salary is commensurate with experience, and includes full social and health benefits.

Applications including a CV, a letter of motivation, research interests and expertise and the names, addresses, phone numbers and email addresses of two references should be sent to Philippe Peylin (<>) and Natasha MacBean (<>). The position is available from 1st January. Evaluation of applications will continue until a suitable candidate has been found.

Postdoctoral Fellow University of Texas MD Anderson Cancer Center

Nov 25, 2013. The Department of Biostatistics in the Division of Quantitative Sciences at The University of Texas MD Anderson Cancer Center has postdoctoral positions open for computational statistics with applications in biostatistics & bioinformatics. The postdoctoral fellows will work under the supervision of Dr. Jeffrey S. Morris. The primary research focus will be on developing novel statistical and computational methodology for functional and image data analysis, with a special focus on complex, high-dimensional functions and images. Potential application areas for which we have novel data sets include functional MRI and electrical response potentials (ERP) from a randomized smoking cessation data, functional data on the sphere and multivariate real-time time series from glaucoma studies, and various types of genomics data including copy number, methylation, miRNA, microarray, proteomics, and next generation sequencing data that can be modeled in an integrative fashion.

Position Qualifications: We seek a highly motivated individual with a Ph.D. degree in statistics/biostatistics or related quantitative fields. Must have strong methodology training in statistics/biostatistics; strong programming skills, in particular R/Matlab and possibly one lower level computer language such as C or Fortran; interest in statistical methodology research. Interest or background in neuroimaging, bioinformatics, genomics, proteomics is a plus. Expertise or skills in any of the following areas are desirable: analysis of high-dimensional data, Bayesian MCMC computations, Bayesian variable selection and sparsity priors, linear models, nonparametric regression, spatio-temporal data, multivariate techniques, functional data analysis, image data.

The University of Texas MD Anderson Cancer Center is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, gender, sexual orientation, age, religion, disability, or veteran status except where such discrimination is required by law. All positions are security sensitive and subject to examination of criminal history record information. Smoke-free and drug-free work environment.

Salary Range: $65,000 USD/year


Web Site:

Application Address: Interested applicants should send a cover letter and CV  
and research statment (with three references) to: and (Subject line: Morris postdoc)
Application Deadline: 01/31/2014
Jeffrey S. Morris
Professor and Deputy Chair
Department of Biostatistics
Division of Quantitative Sciences
Unit 1411
PO Box 301402
Houston, TX 77230-1402
(713) 563-4284 w
(713) 202-9822 m

Math of the Planet Earth: New Doctoral Training Centre with 76 PhD Studentships 2014-19

Nov 22, 2013. Climate change represents an urgent challenge for humanity. Quantifying uncertainty in long‐term climate prediction and estimating the potential strength of extreme meteorological events in the face of global warming are very difficult research questions, with large economic and societal impacts that will only grow in the future.

In response to this challenge, Imperial College London and the University of Reading have joined forces to create the EPSRC Centre for Doctoral Training (CDT) Mathematics of Planet Earth (MPE). Students in the MPE CDT will receive cohort-based PhD training in the mathematical and computational techniques needed to understand, predict and quantify risk and uncertainty for extreme weather and climate change. In particular, our PhD students will receive training which ranges from the data-driven domain represented by statistics, to the model-driven domain represented by analysis and mechanics.

This is the challenge that the CDT as a whole will address, and each student will be able to choose the particular areas of research that suit their individual taste and talents. The MPE CDT students will graduate with substantial, interdisciplinary experience in applying cutting-edge mathematics to challenging and urgent problems, and will have developed the teamwork, communication, management and leadership skills needed for a successful career.

The MPE CDT brings together Two world class academic centres, Imperial College London and University of Reading linked together via Grantham Institute for Climate Change External partners including world-leading weather and climate services based in the UK (including the Met Office and ECMWF) and leading national and international centres of research and doctoral training in weather and climate science Representatives of key commercial sectors, including energy, water, marine, and insurance, where there is large demand for our graduates.

For more details see The full list of new Doctoral Training Centres in the UK can be found at EPSRC DTC List

PhD in Bath: Atmospheric Dispersion Modelling

Nov 7, 2013. The Science Graduate School at the University of Bath is looking for enthusiastic UK graduates wanting to do an exciting PhD in Mathematics on the “Application of Multi-level Monte Carlo Methods in Atmospheric Dispersion Modelling”. This is an enhanced EPSRC CASE Studentship in collaboration with the UK Met Office. EU Graduates who have lived in the UK for 3 years can also apply.

The goal of this project is the application of multilevel Monte Carlo methods (a novel variance reduction technique for stochastic differential equations) to problems in atmospheric dispersion modelling, such as the dispersion of a cloud of volcanic ash, or of a smoke plume in an industrial fire. With your own implementation of the method you will study the performance of the method for a range of representative model problems from the Met Office. The aim is to demonstrate and improve the effectiveness of the multilevel approach in the atmospheric modelling context. As far as possible analytical methods will also be employed to study the performance of the method theoretically and to guide the design of efficient algorithms. Depending on the success of the project, the method will eventually be implemented in the Met Office’s operational model. For more information see

We are looking for Maths graduates with a background in numerical algorithms, numerical analysis, differential equations, and computing, as well as an interest and basic knowledge of probability theory. Alternatively, we also strongly encourage students with a background in probability/statistics and a keen interest to expand their studies to numerical analysis and computing to apply.

For more information please email

Marine Data Assimilation Scientist

Oct 22, 2013. The Met Office, UK, is advertising for a Marine Data Assimilation Scientist. Salary: Starting £29,930 and for exceptional candidates up to £35,040 + competitive benefits, including Civil Service Pension Profession: Science and Engineering Permanent. Full time at Met Office, Exeter Opening date for applications: 18 October 2013, 09:00 Closing date for applications: 31 October 2013 Further Info:

Background information The ability to provide accurate forecasts of the ocean and atmosphere is dependent upon accurate initialisation of the forecast models using data assimilation. The Marine Data Assimilation group within the Ocean Forecasting Research and Development area develops and maintains the data assimilation code which is used for short-range ocean forecasting as well as the ocean component of the data assimilation code for coupled ocean-atmosphere forecasts out to longer-range, including monthly and seasonal time-scales. The ocean data assimilation system is called NEMOVAR, a variational data assimilation scheme developed for use in the NEMO ocean model with external collaborators (including ECMWF, CERFACS and INRIA). This system has been implemented in the various ocean model configurations in 3DVar first-guess-at-appropriate-time mode. A broad range of ocean data assimilation tasks will be shared between the job holder and other marine data assimilation team members, with a specific focus on further developments to the ocean and coupled data assimilation systems for improving coupled ocean-atmosphere forecasts.

Specific job purpose To develop the ocean and coupled ocean-atmosphere data assimilation schemes to improve the accuracy of global coupled ocean-atmosphere forecasts at time-scales ranging from a few days out to six months. Specific job responsibilities · Assist the development and assessment of the NEMOVAR data assimilation scheme for use in ocean and coupled ocean-atmosphere models. · Assist the development and assessment of the coupled ocean-atmosphere data assimilation system for use in coupled ocean-atmosphere models. · Contribute to the broader work of the group where appropriate, and to national and international projects. · Present the work of Ocean Forecasting R&D, both at conferences and meetings and in the literature. · Liaise with relevant groups outside Ocean Forecasting R&D, including other Met Office groups (particularly the seasonal forecasting group), the wider academic community and NEMOVAR collaborators. Qualifications, skills and abilities required

Essential · Degree (2:1 or above, a 2:2 may be considered in exceptional circumstances) in mathematics, physics, meteorology, oceanography or related subject with a significant mathematical content. · Substantial post-doctoral experience in ocean science, data assimilation or a closely related area. · Experience working with scientific computer codes. · Knowledge of data assimilation techniques. · Demonstrated ability to be self-driven and work well independently. · Demonstrated, clear communication skills both written and oral. · Ability to write scientific papers and reports. · Ability to work well in a team environment and with other teams.

Desirable · Experience with Met Office systems such as NEMO and NEMOVAR. · Proven ability in developing and using ocean data-assimilation schemes. · Relevant scientific papers published in peer-reviewed literature. · Experience assessing the performance of numerical models.

Laura Giblin HR Associate Met Office FitzRoy Road Exeter Devon EX1 3PB United Kingdom Tel: +44 (0)1392 886031 Email: Website:<>

Postdoctoral Research Assistant in the Mathematics of Biological Tissues and One-year Postdoctoral Research Assistant in Extremal Combinatorics

Oct 22, 2013. Please look at the two posts advertised below:

1. We invite applications from exceptionally talented postdoctoral researchers for a postdoctoral research assistantship in the mechanics of soft-tissues with special emphasis on the brain. This position is funded by the King Abdullah University of Science and Technology (KAUST) Global Research Partnership for up to 36 months, available from 1 January 2014 (or as soon as possible thereafter) and will be based in the Oxford Centre for Collaborative Applied Mathematics (OCCAM) part of the Mathematical Institute.

The successful applicant will be an outstanding researcher who will have already shown excellence in the field of mathematical modelling associated with the mechanics and computation of biological tissue. They will work under the supervision of Professor Alain Goriely and undertake research at the highest academic standard, disseminating research via conference presentations and journal publications. They may also be required to teach up to four sets of undergraduate or graduate classes per year.

Applicants will be expected to have a PhD in mathematics or a related discipline, show evidence of an outstanding record (for the stage of their career) of papers published in major internationally refereed journals and show evidence of independence and outstanding ability in research.

Applicants should read the job description before writing their application. You will be required to upload a supporting statement setting out how you meet the selection criteria, a curriculum vitae including full list of publications with top three papers starred, a copy of your best paper, a statement of research interests and a plan for research during the Fellowship. (NOTE: Applicants are responsible for contacting their two referees and making sure that their letters are received by the closing date). Further details including job descriptions and selection criteria can be found here:

2. The Mathematical Institute at the University of Oxford invites applications for a postdoctoral research position, funded by the European Research Council, to work with Professor Peter Keevash. This position is available for 1 year, with a start date of 1 January 2014 (or as soon as possible thereafter).

The successful applicant will perform mathematical research in Extremal Combinatorics, write this up for publication and will fully participate in the activities of the research group. They may also be required to teach up to four sets of undergraduate or graduate classes per year.

The successful applicant will be expected to have a PhD awarded, or a Masters degree and PhD submitted (at the time of taking up the position) in mathematics or a related discipline and a strong research background in Extremal Combinatorics. Applications are particularly welcome from candidates with experience in applying the Szemeredi Regularity Lemma, probabilistic methods, algebraic methods, discrete Fourier analysis and other techniques used in the field. Please direct informal enquiries to the Administrative Assistant (email:, quoting vacancy reference 110421.

Applicants should read the job description document before writing their application. You will be required to upload a letter setting out how you meet the selection criteria, a CV including full list of publications, a statement of research interests as part of your online application. (NOTE: Applicants are responsible for contacting their three referees and making sure that their letters are received by the closing date).

Please direct informal enquiries to the Administrative Assistant (email:, quoting vacancy reference 110421.

Closing dates: Monday, 18 November 2013 (KAUST funded position) and Thursday, 21 November 2013 (ERC funded position).

I-CORE in Algorithms and the Simons Institute for the Theory of Computing in Berkeley

Oct 22, 2013. I-CORE in Algorithms and the Simons Institute for the Theory of Computing in Berkeley - a joint postdoctoral program

The Israeli Center of Research Excellence in Algorithms is part of the I-CORE program, initiated by the Government of Israel and adopted by Israel's Council of Higher Education, in order to reinforce Israel's intellectual capacities and promote synergy among Israel's leading research centers. The members of the center are some of Israel's most exceptional computer scientists, from The Blavatnik School of Computer Science in Tel Aviv University, The Rachel and Selim Benin School of Computer Science and Engineering in The Hebrew University of Jerusalem, and the Faculty of Mathematics and Computer Science in Weizmann Institute of Science.

The Simons Institute for the Theory of Computing is an exciting new venue for collaborative research in theoretical computer science and related fields. The Institute will be housed in a dedicated building on the UC Berkeley campus, and will act as a vibrant and welcoming environment for visiting researchers. In each academic semester the activities of the Institutes are largely focused on specific research programs, each of which attracts thirty to forty participants ranging from senior scientists to graduate students. The Simons Institute for the Theory of Computing was created in 2012 through a ten-year grant from the Simons Foundation (more information can be found at

The joint postdoctoral position would start in the Fall 2014. The joint post-doctoral fellow will first spend a semester (Fall 2014) at the Simons Institute, and then will continue at the I-Core in Algorithms for the remainder of the academic year.

The topics of the research programs for Fall 2014 in the Simons Institute are “Algorithmic Spectral Graph Theory” and Algorithms & Complexity in Algebric Geometry“.

The topics of research in I-CORE in Algorithms include (but are not limited to): all variety of algorithms (optimization, online, streaming, approximation, randomized, geometric and more), cryptography, security and privacy, algorithmic game theory, quantum computing, networking and distributed computing, databases, machine learning and computer vision

(The research interests of potential candidates should match the research interests of both institutions).

Salaries and benefits are competitive and assistance with visas and housing will be provided. We particularly encourage applications from outstanding women and minority candidates. In addition, the I-CORE in Algorithm would provide some support to travel to and from Israel.


Each applicant should submit the following documents (as pdf files) in a single email to or (

- cover letter, including current institution and employment status, (expected) date of PhD, and a statement indicating the Simon Institute program (or programs) in which you wish to participate, and why. For the I-CORE Algo please indicate which institute you would like to perform the research at (can be more than one); - curriculum vitae, including full list of publications; - research statement; - names and email addresses of at least three recommenders.

In addition, all applicants should ensure that their recommenders email their letters (as pdf files) to the email address above, with the subject line ”: recommendation“. (It is the applicant's responsibility to ensure that the letters are sent; the Institute will not solicit letters directly.)

The deadline for receipt of all application materials, including letters, is December 15, 2013.

Postdoc IBM Singapore

Oct 22, 2013. IBM Research Collaboratory in Singapore welcomes qualified post-doctoral candidates to apply for a fellowship starting as early as January 2014.

The successful candidate will be working on the 'next generation' of real-time analytics leveraging massive multimedia and unstructured datasets (such as cognitive computing).

We welcome applications from candidates with background experience in optimal control, inverse problems, data assimilation, or machine learning, who feel that their experience will assist in the development of online operational analytics across multiple application areas from transportation to environmental sensing.

The position involves working with an international research team developing models and algorithms for real-time analytics. The position involves both innovative research and writing articles as well as significantly contributing to real-world client projects. There is a component of the position that involves programming, and experience in Java is preferred. However, the position is not primarily a programming position.

Salary and benefits are very competitive. The actual salary is determined by the IBM Research Human Resources department and cannot be provided ahead of an offer being made to the candidate. But, it can be expected that the salary and benefits will be very attractive, as compared to academic positions and to other positions in industry.

The position is for one year and can be renewed up to two more years based on mutual agreement. As such, this is a duration-limited position. Of the postdoctoral researchers at IBM Research, some are converted to permanent, non-duration-limited, positions during the course of their postdoctoral fellowship. However, no guarantee of such conversion can be made ahead of time.

We are actively recruiting for this position now and wish to fill at least one position soon, but regardless of your availability date, we encourage you to apply to the position, as it is possible for multiple positions to become available during the course of 2014. Therefore, while there is a preference given to candidates who are available to start early in 2014, all qualified and interested candidates should apply.

Cognitive computing is an exciting area of research within IBM and if this position appeals to you, please send a recent CV and please have 1 or 2 recommendation letters emailed directly to Dr. Sebastien Blandin, at

Group Leader Position, Statistical Inverse Problems, Biophysics

Oct 14, 2013. We advertise a Group leader position Statistical Inverse Problems in Biophysics at the Max Planck Institute for Biophysical Chemistry (Code Number 27-13)

The Research Group “Statistical Inverse Problems in Biophysics” (Max-Planck Fellow Prof. Axel Munk) is looking to fill one group leader position (up to five years, E 14) at the inter-face of mathematical statistics, inverse problems and biophysics. A possible starting date for the position is January, 1st 2014.

The goal of the group is to develop statistical and mathematical methods for several problems in biophysics. This will be done in close collaboration with various labs at the Max Planck Institute for Biophysical Chemistry and the Mathematical Statistics group at the Faculty of Mathematics and Computer Science, Georg August University, Göttingen. Possible activities range from im-age analysis in sub-diffraction fluorescence microscopy, the statistical analysis of NMR spectra, radially under-sampled magnetic resonance tomography to complexity reduction techniques in modeling protein dynamics. We offer the possibility of a Habilitation at the faculty of Mathemat-ics and Computer Science. In addition, the possibility to fill a PhD position is offered to the successful candidate.

We are looking for talented, self-motivated individuals with a strong background in statistics or applied mathematics. Good programming skills and basic knowledge of biophysics is desirable.

The Max Planck Society is trying to increase the percentage of women on its scientific staff and strongly encourages applications from qualified women. The Society is also committed to em-ploying more handicapped individuals and especially encourages them to apply.

Please send your application including a current CV and the names and contact information of three references in relation to the code number until November, 17th 2013 to

Max Planck Institute for Biophysical Chemistry Mrs Almuth Burgdorf Am Fassberg 11, 37077 Göttingen Germany Email: Tel.: +49 551 201-1483

For further requests please contact: Prof. Axel Munk Email: Tel: +49 551 39-172111

Faculty Position, Computational Math, Emory Univ

Oct 14, 2013. The Department of Mathematics & Computer Science at Emory University invites applications for a tenure-track faculty position in Computational Mathematics. Appointments are expected to be at the Assistant Professor level in the area of numerical optimization; senior candidates may be considered for truly outstanding cases. Applicants must demonstrate exceptional research ability, and have a PhD in Mathematics, Computer Science, or a closely related field. Applicants should also have strong records, or promise, as undergraduate and graduate teachers. Ideal candidates will have interdisciplinary interests that complement and enhance current research strengths in numerical linear algebra, networks, inverse problems, numerical partial differential equations, and computational fluid dynamics.

Applications consisting of a CV, research and teaching statements, and three letters of recommendation directly from recommenders can be submitted via, or can be sent via email to Informal inquiries are also invited by email. Screening starts December 1, 2013. Applications received by December 31, 2013, will receive a full review. Please note that appointments are subject to final funding approval. For additional information about the department, please see:

Emory University is an Equal Opportunity/Affirmative Action employer. Women and underrepresented minorities are encouraged to apply.

James Nagy Chair of CM Search Committee

Postdoc Positions, Lab for Information & Inference Systems, EPFL

Oct 14, 2013. The Laboratory for Information and Inference Systems ( at Ecole Polytechnique Federale de Lausanne (EPFL) has multiple openings for energetic postdoctoral fellows in the broad fields of Applied Mathematics, Theoretical Computer Science, and Statistics as part of Prof. Volkan Cevher's 5-year European Research Council project.

Our lab provides a fun, collaborative research environment with state-of-the-art facilities at EPFL, one of the leading technical universities worldwide. EPFL is located in Lausanne next to Lake Geneva in a scenic setting.

Topics of interest include, but are not limited to Analysis and design of advanced convex and non-convex optimization methods with applications to inverse problems; Analysis and design of advanced discrete optimization methods with particular emphasis on sublinear, submodular, and approximation algorithms; Learning theory and methods for non-parametric, sparse additive models; Encoder design for compressive and adaptive measurement schemes, including information extractors (e.g., polar codes) and expanders; Advanced linear algebra methods for optimized information extraction from very large dimensional datasets; Analysis and applications of non-iid probabilistic models.

Applicants are expected to have finished, or are about to finish their Ph.D. degrees. They must have an exceptional background at least in one of the following topics: numerical convex optimization, combinatorial optimization, statistics, coding theory, and algorithms. A track record of relevant publications at top applied mathematics, theoretical computer science, statistics, or engineering journals or conferences is essential. The working language at EPFL is English.

Starting date: available immediately

For informal enquiries, please contact Bubacarr Bah,

The application letter including a curriculum vitae with a list of publications, statement of research, contact details for 3 references should be sent via email to Gosia Baltaian

Data Assimilation Postdoc on Coupled DA

Oct 9, 2013. “Multivariate relationships between the aerosols, moisture and winds in four-dimensional data assimilation for the global monitoring for environment and security”, funded by the European Space Agency (ESA, Plan for European Cooperating States) announces a position in data assimilation coupled to aerosols to begin on 1 January 2014. Position is at the post-doc level but qualified candidates without PhD will also be considered.

Suitable candidates are highly motivated people with a solid background in physics and mathematics and specialization in atmospheric sciences. The candidate for a post-doc level position should ideally have a PhD degree in atmospheric sciences and he/she is expected to have experience in Fortran programming, running and analyzing atmospheric data and model outputs. A degree in data assimilation or atmospheric aerosol modeling is a further advantage. A candidate without PhD should have a MSc degree in atmospheric sciences and a strong interest in variational data assimilation. The employment in this case can be extended towards PhD depending on candidate’s success.

Working conditions and salary are competitive. The position is for two years with a possibility for extension. The application material required includes curriculum vitae with the publication list, research statement and names and contact details of two individuals who are familiar with the applicant’s work (preferably former supervisors). The listed individuals should send their reference letters directly to Prof. Nedjeljka Žagar, Applications and inquiries should be sent to Prof. Nedjeljka Žagar, Applications will be considered as arriving until the position is filled.

The project host, Department of Physics, Faculty of Mathematics and Physics (, is an internationally recognized research and educational institution. Ljubljana is considered one of “Europe's Most Idyllic Places To Live” (

Postdoc Position, Multiscale Methods & Uncertainty Quantification

Oct 8, 2013. Departments of Mathematical Sciences and Mechanical Engineering. University of Bath, UK. The University of Bath is seeking applicants for a 42-month Research Officer position on an exciting new project in

  “Multiscale modelling of aerospace composites - Increasing
   Quality, Reducing Empiricism and Challenging Conservatism.”

Candidates with a PhD in a Science/Engineering subject with significant mathematical content, a solid background in numerical methods for partial differential equations and experience of programming and implementation of numerical methods are encouraged to apply. Experience in some of the following areas will be a distinct advantage: structural/composite mechanics, FE analysis, multiscale discretisation techniques, stochastic uncertainty quantification, statistics. Candidates should be self-motivated and possess project management and technical communication skills.

For further details and the online application form see:, closing date: Thursday, 31 October 2013. If you have any questions or require any further information, please contact Prof Richard Butler ( or Prof Rob Scheichl (

Two Tenure-Track Faculty Positions at The Ohio State University

Oct 8, 2013. The Department of Statistics in the College of Arts and Sciences at The Ohio State University invites applications for two tenure-track Assistant Professor positions to begin in the Autumn Semester of 2014.

We seek energetic researchers in areas of modern statistical methods, computation, and data analysis. For one of the positions, applicants should have expertise in statistics and machine learning. For the second position, applicants should have expertise in statistics directed to modeling, inference, and prediction in high-dimensional settings. In both cases, commitments to both methodological research and scientific collaboration are required. Interests in applications to complex systems, including physical and biological systems as well as those involving human behavior and well-being are of special interest. The faculty member should be dedicated to the development and delivery of educational programs at all levels.

Candidates are expected to have a Ph.D. in Statistics (or related area) by August 20, 2014 and to present evidence of excellence in teaching and in both methodological and collaborative research. Further information about the department can be found at

Applicants should apply electronically at New or recent Ph.D.’s should include a statement of research and graduate school transcripts with their applications.

Applications will be considered on a continuing basis, but the review process will begin on November 1, 2013.

Postdoctoral Position in Social Cognitive Neuroscience

Sept 27, 2013. Department of Psychology, Royal Holloway, University of London Applications are invited for a Post-doctoral Researcher to work with Professor Manos Tsakiris on the project “The plasticity of the self”, funded by a European Research Council Starting Investigator Grant. The project will investigate the neural correlates of social cognition and self-awareness, especially but not exclusively, when social cognition processes and self-representations change as a result of multisensory experiences.

Applicants should have a PhD in psychology or neuroscience, a strong background in behavioural and neuroimaging (especially fMRI) methods, and strong abilities in data analysis and computational methods in cognitive neurosciences. Expertise in social cognition research is highly desirable. The Psychology Department, located in Egham, Surrey, close to Central London, has an excellent research profile (rated 5 in the last RAE) and benefits from state-of-the-art research facilities (e.g. MRI, TMS, EEG, cognitive behavioural testing suites).

This is a full time post and the preferred start date is between October and November 2013 or as soon as can be arranged, for a fixed term of 24 months. Salary in the range of £32,558 to £38,432 per annum inclusive of London Allowance. Informal enquiries may be made to Professor Manos Tsakiris and more information about the research at the LAB can be found here: To view further details of this post and to apply please visit webpage. The RHUL Recruitment Team can be contacted with queries by email or via telephone on: +44 (0)1784 41 4241 +44 (0)1784 41 4241 .

Machine learning/computational biology postdoctoral fellows

Sept 18, 2013. Machine learning/computational biology postdoctoral fellows needed immediately to work in the Center for Clinical and Translational Metagenomics at Harvard Medical School in the research group of Dr. Georg Gerber. The successful applicant will develop and apply novel statistical/machine learning methods to:

  1. Infer dynamic behaviors of the microbiota in human subjects and experimental animal systems
  2. Infer microbe-microbe and host-microbe interaction networks
  3. Predict host phenotypes, including disease status in patients, from static or longitudinal microbiome and host immune system data

The microbial inhabitants of the body, termed the microbiota, form complex ecosystems that perform vital functions for the host. Recent advances in high-throughput sequencing technologies are enabling study of these systems at unprecedented scale. Dysbiosis, or alteration of the normal composition of the microbiota, has been implicated as a contributing factor in a variety of human diseases, including susceptibility to infections, obesity, inflammatory bowel disease, allergies, multiple sclerosis, and cancer. The lack of computational algorithms to effectively analyze microbiome data remains a primary roadblock in the field. Thus, this position represents an opportunity to make a big impact in this new and exciting field!


  1. PhD in computer science, applied mathematics, statistics, or other highly quantitative discipline from top institution
  2. Previous experience performing high-quality machine learning/statistical research; experience with nonparametric Bayesian methods not required, but desirable
  3. Some previous computational biology experience (microbiome experience not required, although willingness to learn about this exciting field is required!)
  4. Experience implementing and running algorithms in high-performance parallel computing environments
  5. Excellent publication track record
  6. Excellent ability to communicate complex ideas and work on multidisciplinary teams with others not versed in machine learning/statistical methods

Applications will be accepted until the position is filled, although priority will be given to applications received before November 1, 2013 Send cover letter and CV to

Four Posdoctoral Positions in Statistical Inverse Problems

Sept 14, 2013. Please note the following four open positions in inverse problems:

Enabling Quantification of Uncertainty for Inverse Problems (EQUIP)

As part of the EPSRC funded EQUIP Programme Grant, Warwick University and Heriot-Watt University are advertising four postdoctoral positions in statistical inverse problems. Three posts will be based at the University of Warwick and another post at the University of Heriot-Watt. Each will have a two year duration, and may start at a mutually agreed date in the calendar year 2014. EQUIP is led by Andrew Stuart (Mathematics, Warwick) and comprises Mike Christie (Petroleum Engineering, Heriot-Watt), Mark Girolami (Statistical Science, currently UCL but moving to Warwick) and Gareth Roberts (Statistics, Warwick). Applicants with expertise in the areas of inverse problems, numerical analysis, computational partial differential equations, computational and theoretical statistics and subsurface geophysics are encouraged to apply.

For details about EQUIP, and links to the application process, see:

JAXA Research Recruitment: Remote Sensing

5.9.2013. The JAXA's Aerospace Project Research Associate recruitment has just started. JAXA calls for researchers participation with research experience in atmospheric science, in particular, studies related to cloud and precipitation.

Development of methods to integrate satellite observations and numerical weather/climate models

JAXA has promoted various missions, such as Global Precipitation Measurement (GPM) with the NASA, Earth Cloud, Aerosol and Radiation Explorer

(EarthCARE) with the ESA. Satellite data simulator can be very helpful for more distinct validation of numerical weather and climate model using the data from the satellite observation. The JAXA has developed Joint Simulator for Satellite Sensors (JointSimulator). Satellite simulators can be used as a tool to take in the satellite data to assimilation system. The data assimilation of the satellite data will be expected to be carried out in the joint-work of the JAXA and the Meteorological Research Institute (MRI) of the Japan Meteorological Agency (JMA). Project researchers of this application are expected to contribute to research to integrate the GPM/EarthCARE data and numerical weather/climate models.

New job opportunities at the Nansen Center

5.9.2013. Thanks to recent grants awarded, the Nansen Environmental and Remote Sensing Center (NERSC) opens four positions: three project-financed researcher positions and one post-doc in the modeling and data assimilation department of the Mohn-Sverdrup Center.

Scientist DA1: A 4-years scientist positions is open for an expert in data assimilation. The goal is to carry out methodological developments based on the Ensemble Kalman Filter (EnKF), and apply them to the TOPAZ coupled ice-ocean monitoring and forecasting system. The developments should improve the performance of the system and assimilate new types of observations. Experience with the ocean model HYCOM or other large-scale coupled ice-ocean models will be considered as an advantage. Start expected early 2014

Scientist DA2: A 4-years scientist position is open for assimilation of biological data from satellite and in-situ measurements into coupled physical-ecosystem models. The goal is to carry out methodological developments of the data assimilation stochastic model in order to adapt it to the challenges of strongly non-linear biogeochemical models, in particular the estimation of their parameters. It will be implemented in the TOPAZ-NORWECOM model of primary production as well as the global model of the ocean Carbon cycle in the Norwegian Earth system Model (NorESM). The latter work is done in collaboration with the University of Bergen. Start expected early 2014. Scientist OM: A 4-years scientist position is open for an expert in numerical ocean modeling with a strong background in theoretical oceanography. The goal of this position is to conduct oceanographic analyses of the output from the TOPAZ system and to improve the physical ocean model HYCOM, in particular in regards to the mixing parameterizations in the Arctic Ocean and the forthcoming incorporation of a new sea ice model developed at NERSC. Start expected early 2014.

Post-doc: A 3-years post-doc will apply the EnKF to the ocean component of NorESM. The goal is to develop and assess a seasonal-to-decadal climate prediction system. The position is fully funded by the collaborative EPOCASA project from the Research Council of Norway and contributes to the Bjerknes Center for Climate Research. The candidate should have a PhD in applied mathematics and experience with data assimilation. Start expected January 2014.

The salaries are based on qualification, experience and publications. For an equal level of qualifications, female applicants will be given priority. The deadline for applications is Sept 30, 2013.

More information: and

Postdoc Interdisciplinary Bio-Math-Engineering

Sept 4, 2013. Wellcome Trust–Massachusetts Institute of Technology (MIT) Postdoctoral Fellowships provide four years’ support for recently qualified postdoctoral researchers to gain experience of research at the interfaces between biology/medicine and mathematics, engineering, computer, physical or chemical sciences.

This scheme offers opportunities for postdoctoral scientists to undertake research at the interfaces between biology/medicine and mathematics, engineering, computer, physical or chemical sciences, firstly at MIT and then at a UK institution.

Candidates will be expected to identify an important biomedical research question and to propose a personal interdisciplinary training programme to achieve their research aims.

The aim is to support those who will train in a new research area that is complementary to, but distinct from, their current field of expertise, to enable an interdisciplinary approach to their research question - e.g. you might be a physicist wanting to work on a biology-based programme, or a biologist wanting to undertake a bio-engineering project.

Postdoc Positions in Finland

Sept 3, 2013. Please find below an announcement about call for doctoral student positions in the University of Eastern Finland (UEF) doctoral programmes.

The inverse problems and computational physics group at Kuopio campus ( gives doctoral training under the doctoral programme in “Mathematical analysis and scientific computing”.

Big Data Analysis in Biomedical Sciences, Causal Analysis ...

Aug 21, 2013. The Division of Biostatistics, School of Public Health, at the University of Minnesota is announcing openings for two tenured or tenure-track faculty positions at the Assistant, Associate, or Full Professor rank.

We are especially interested in individuals with academic and research records in (1) the development of innovative approaches, methods, and software for the manipulation and analysis of big data in the biomedical sciences, (2) methods for survey sampling small area estimation, and (3) structural equation modeling (SEM), causal analysis, and other methods useful for accounting for latent factors in observational data. We will however consider applications from candidates in other important related research areas (especially novel methods and data management for clinical trials), as well as those with PhDs in areas besides biostatistics or statistics.

Applications received before November 15, 2013 will be given first consideration for an interview. However we will continue to accept applications until the positions are filled.

Applicants should submit a cover letter, current curriculum vitae, and the names of at least three references online at Please reference requisition # 186416. In addition, a letter of recommendation from each of the three references should be sent to: Biostatistics Search Committee, Division of Biostatistics, A460 Mayo Building, MMC 303, 420 Delaware Street SE, Minneapolis, MN 55455. For questions contact Sally Olander (

Post-Doc on Big Data Analysis

With the fast evolving technology for data collection, data transmission, and data analysis, we observe that the scientific research community is undergoing a profound transformation where discoveries and innovations increasingly rely on massive amounts of data. New prediction techniques, including novel statistical, mathematical, and computational techniques are enabling a paradigm shift in scientific investigation. Deep analysis of large data sets has become a critical endeavor of science by offering complementary insights in addition to theory, experiment, and computer simulation.

We seek highly motivated Postdoctoral Associates to join our efforts to advance machine learning and data mining for better modeling of large amounts of data from scientific domains. Our hypothesis is that much more information is embedded in big data than what can be processed by a few domain experts. We further argue that big data are often linked, and exploring the relationships among data sets enables us to build much better models for understanding structure in data. Details can be found at

We are working on a number of highly interdisciplinary projects to test our hypothesis. Sample projects include:

   Prediction of the role of small molecules in biological systems using
   chemical structure and biological activity information
   Identification of drugs for new therapeutic strategies
   Delineation of genetic relationships from high-throughput sequencing data

Successful candidates should possess the following qualifications: (i) a Ph.D. degree in computer science, statistics, bioinformatics, or cheminformatics. (ii) familiarity with machine learning and data mining theory and algorithms (supervised learning, parametric and nonparametric approaches, MLE and/or Bayesian, model selection and model evaluation), (iii) strong communication skills, (iv) excellent programming skills. Knowledge of biological or pharmaceutical data is a plus but not required. Knowledge of computer systems (high performance computing and cloud computing) is a big plus but not required. The initial appointment is for one year, and the position may be renewed based on satisfactory progress.

The University of Kansas is a major educational and research institution with about 30,000 students on five campuses, 2,600 faculty members, and service centers throughout the state. EECS is the largest department in the KU School of Engineering, with 36 faculty and annual research expenditures of over $10 million. The main campus of KU is in Lawrence, a vibrant, thriving community of more than 90,000 residents that is just 40 miles west of Greater Kansas City and 20 miles from the state capital. The University of Kansas is an EO/AA employer.

To apply, please send your CV, including a list of publications, past and current research experience, and contact information for three references, to Dr. Jun (Luke) Huan.

Dr. Jun (Luke) Huan Department of Electrical Engineering and Computer Science The University of Kansas Lawrence, KS, 66047-7621 USA

Post-doc position multimodal integration of neuroimaging and genetics

August 25, 2013. The Donders Institute for Brain, Cognition and Behaviour in Nijmegen in The Netherlands is one of the top-institutes for neuroscience worldwide. A key area of research at the Donders Institute is the integration of information across different research modalities, especially in the context of neuroimaging and genetics. To strengthen our existing Imaging Genetics team, we are looking for an excellent post-doc with a strong technical background, ideally in developing neuroimaging analysis methods for fMRI, MEG and/or Imaging Genetics. Relevant experience in other areas of Engineering/Applied Mathematics, Statistics, Computer Science and Physics would be considered.

The main task of the post-doc is to develop innovative analysis methods for neuroimaging genetics analyses that allow for multimodal data-integration and linking complex genome-wide genetic data and neuroimaging data within a Bayesian framework. The successful candidate for the position will have a Master and PhD degree in a relevant technical area – most likely one of: Mathematical Engineering, Electrical Engineering, Applied Mathematics, Computer Science, Machine Learning, Physics, Statistics or Image Processing. Affinity with human genetics is required. Next to experience in relevant research areas (s)he will have a track record of high-quality reviewed journal publications, strong experience in programming, ideally in both Matlab and C/C++, strong written and oral English communication skills, the capacity for independent research, an ability to work well in a team and in sharing technical know-how and ideas.

The position provides the opportunity for doing world-class research as a key member of an interdisciplinary team. Initially, the qualified candidate will be hired for 3 years (at least 0.8 fte) in first instance, but employment may be extended for 2 more years. Salary will depend on experience, and will range between €3.227 and € 4.778 per month. For more information, please contact Prof. Dr. Christian Beckmann (; Prof. Dr. Ole Jensen (; Prof. Dr. Jan Buitelaar (; Prof. Dr. Barbara Franke ( Applications should include:

  1. a cover letter specifying your motivation, research experience, interests and plans
  2. a curriculum vitae
  3. a list of publications
  4. the names of two persons who can provide references

Applications should be sent electronically to: Prof. dr. Peter Hagoort Radboud University Nijmegen

Research Fellow in Volcanic Ash Modelling and Data Assimilation

Aug 1, 2013. National Centre for Atmospheric Science Full time, fixed term for 24 months to commence as soon as possible University Grade 7 (£30,424-36,298 per annum)

The project contributes to the work of NERC's National Centre for Atmospheric Science (NCAS) in supporting the national response to volcanic ash hazards. NCAS is one of NERC's six research centres, with responsibility of providing national capability and coordinating strategic research on behalf of the UK atmospheric science research community.

You will contribute to the modelling effort at NCAS Leeds which is developing a plume dispersal model utilising the Weather Research and Forecasting (WRF) model. Your work will make use of data from a range of both ground and airborne instruments operated by NCAS and the opportunity will arise to be involved in these observational activities.

You will have a PhD in mathematics, meteorology, physics or chemistry (or related field) with significant experience in both the analysis of atmospheric measurement data and its use and assimilation into models. You will also have the ability to work proactively, taking the initiative to drive the project forward and will have good communication and interpersonal skills.

You will be based within NCAS at the University of Leeds but the work will involve collaboration with both the UK and Icelandic Meteorological Offices in addition to other academic parties.

Informal enquiries may be made to Professor Stephen Mobbs, email<>, tel +44 (0)113 343 5158 or Dr Ralph Burton,<>, tel +44 (0)113 343 1587. Closing date is midnight on Sunday 1 September 2013. Interviews will take place on Monday 23 September 2013.

Post-Doc in Uncertainty Quantification

The Department of Civil Engineering is looking for a post-doctoral researcher to work on uncertainty assessment and communication, to support risk management in natural hazards. You will have a proven track record of data analysis and visualisation in environmental science is crucial, and experience in one or more of the following is highly desirable: [1] expert elicitation of uncertainties and losses, [2] decision theory and decision support tools (such as HUGIN Expert), [3] specific natural hazards (e.g. earthquakes, volcanoes, floods).

You will be supervised by Dr Katsu Goda and Profs Willy Aspinall and Thorsten Wagener as part of the CREDIBLE project, a NERC-funded consortium (Bristol, Exeter, Oxford, Lancaster) to develop methods and implement statistical methods for uncertainty and risk assessment in natural hazards. This is a 2-year fixed term position based in Civil Engineering at the University of Bristol, along with two other post-doctoral positions (already filled) and three PhD students (already started).

Job number ACAD100121 Division/School Queen's School of Engineering Contract type Fixed-term contract staff Working pattern Full time Salary 30424 - 38522 Closing date for applications 04-Aug-2013

More details and apply: WEBSITE for Application

Thorsten Wagener, Professor of Water and Environmental Engineering, Department of Civil Engineering, Queen's School of Engineering, University of Bristol, 1.51 Queen's Building, University Walk, Bristol BS8 1TR, UK, T +44 (0)117 331 5737 F +44 (0)117 331 5719,

Positions on Neural Recordings at UCL

July 31, 2013. Please note the following positions in neuroscience, strongly linked to medical imaging and inverse problems.

Position 1: Analysis of large-scale cortical activity using next-generation neuronal recordings.

Understanding how the brain processes information requires understanding the joint activity of large numbers of neurons. This position would involve using new electrode technology to record for the first time from thousands of neurons simultaneously in the living brain. In addition to experimental recordings, this will involve extensive computational work to characterize the large amount of data produced by these experiments. This project would suit someone with strong quantitative/computational skills, as well as experience in experimental neurophysiology or the willingness and ability to learn. This post forms part of a world-wide consortium to develop next-generation neural population recordings, and would be supervised jointly by Kenneth Harris and Matteo Carandini.

Position 2: Large-scale simulation of cortical circuits.

Our understanding of the connectivity and plasticity of neocortical circuits is growing at a tremendous rate. Yet understanding of how these circuits process information lags far behind this biological knowledge. This project will employ recently-developed learning rules to study how realistic models of cortical circuits can self-organize into information-processing networks. Close interaction with experimental neuroscience will be a key part of the project, and the models will be constrained by their ability to both reproduce patterns of population activity measured experimentally in vivo, and to perform real-world information processing tasks such as speech classification. The project will involve analytical as well as computational work, and would suit an individual with strong ability in mathematics or physics, excellent programming skills, as well as deep knowledge and interest in neuroscience.

About the lab

The most exciting developments in science come from close interactions between scientists of different backgrounds and skill sets. We run a tightly integrated group that allows not only collaborative research but also the opportunity for computational scientists to train in experimental techniques and vice versa. Our location in London provides access to a strong research base of neuroscience, computation, engineering, as well as a stimulating cultural environment.

To apply for these positions, please go to, enter 1351805 or 1352741 into the box “Ref No”, and press “search”. Informal enquiries are welcome by email to

Inverse Problems Groups in Germany

July 30, 2013. We are compiling a list of groups or researchers working on inverse problems or data assimilation in Germany. Please have a look at Group List. There are more than 20 different German universities or institutions involved in working on the topic - not counting the many applications of inverse problems techniques in university clinics, companies or engineering institutes.

If you know further individuals or groups which are interested in the topic of inverse problems and data assimilation in Germany, please let us know at

Many thanks! Your IPinfo Team.

Postdoc opening @ NeuroSpin MEG, Paris, France

July 18, 2013. Due to a postdoctoral fellow having successfully found a life-time position, we have a new opening in the group! Applications are invited from a talented, dynamic, committed, and enthusiastic researcher. The ideal applicant will have a sound experience in the analysis of MEG and/or EEG data and a strong record and research interest in cognitive neurosciences. The selected postdoctoral fellow will lead MEG studies as part of the ERC funded project “Mind Time”. A set of studies will specifically aim at using classifiers and decoding techniques with MEG data. The researcher will be expected to work closely with and supervise (master, phd) students involved in the project. Some involvement in organizational and managerial aspects specific to these projects can be expected.


  1. should hold a PhD in cognitive neurosciences, neurosciences, psychology, and/or related fields
  2. a strong record of published work
  3. prior experience with MEG/EEG techniques
  4. sound signal processing skills
  5. sound programming skills (matlab, python)

Applicants from outside the European Union are welcome but must qualify for a valid visa. French speaking is not a requirement as long as the English language is mastered.

Research Assistant or Research Associate in Uncertainty Assessment and Communication

July 16. The position as Research Assistant or Research Associate in Uncertainty Assessment and Communication for two years fixed term appointment is open at the Dept Civil Engineering, University of Bristol.

More details at (Job number ACAD100121).

PhD Studentship in Human Neuroimaging

The School of Psychology & Clinical Language Sciences invites applications for a 3-year EPSRC funded studentship to develop a platform for the integration of dynamic magnetic resonance spectroscopic and haemodynamic data in human brain imaging.

Leveraging recent progress and ongoing work on dynamic models of neuronal activity and neurovascular coupling, the project aims to integrate data from magnetic resonance spectroscopy (MRS) and blood oxygen level-dependent functional MR imaging (BOLD fMRI). The project will develop, test and compare a series of computational models designed to simulate data that integrate structural, functional and neurochemical magnetic resonance measurements. The acquisition of structural, BOLD and spectroscopic data from cortical and subcortical structures will be optimised. The effectiveness of the best performing models will be tested in these different brain regions to examine whether the relationship between structural markers, haemodynamics and neurochemistry remains constant or changes systematically across neural tissue. A number of key questions in our ongoing work will be specifically addressed in this way, although the precise application of the project methodology will be tightly coupled to the interests of the student. The project will be at the forefront of efforts to reverse-engineer the MR signal to its neural constituents, addressing a significant methodological issue in modern neuroimaging applications.

The studentship will be hosted in a cross-disciplinary, multi-centre environment under the primary direction of Dr Anastasia Christakou (Centre for Integrative Neuroscience and Neurodynamics (CINN) and School of Psychology and Clinical Sciences (PCLS), University of Reading). The project will be undertaken in collaboration with Dr Ying Zheng (University of Sheffield), Professor Tom Johnstone (University of Reading), and a number of external partners. The student will be affiliated to PCLS and based in the CINN at Reading. It is envisaged that the successful candidate will visit collaborators in the UK as well as internationally during the project.

The ideal applicant will possess a postgraduate qualification in Mathematics, Engineering, Physical Sciences or other relevant background with a strong mathematical component; applicants with an undergraduate degree of 2.1 or above may also be considered. Excellent computer programming is highly desirable, as is a keen interest in human neuroimaging, dynamical systems theory, and methods development. The mathematical modelling work will involve iterative methods such as the expectation-maximisation algorithm. The developed mathematical models will be solved using appropriate numerical packages (e.g. MATLAB). The MR data acquisition development work will be undertaken in collaboration with senior scientists in the CINN and external collaborators, and will form a key aspect of the project. For further details or for an informal conversation about the scope of the project, please contact Dr Anastasia Christakou ( To apply for this studentship please submit an application for a ‘PhD in Human Neuroimaging’ to the University before 26th July, 2013 – see It is envisaged that interviews for short-listed candidates will be held on Monday 12th August.

Tenure track position in Applied and Computational Mathematics

June 20, 2013. Centrum Wiskunde & Informatica (CWI) in Amsterdam invites postdoctoral researchers to apply for a Tenure track position in Applied and Computational Mathematics within in the Computational Dynamics research group.

Job description: CWI Amsterdam is looking for an excellent researcher in the area of applied and computational mathematics. Preferably, you have a focus on emerging computational methods, with expertise in areas such as nonlinear PDEs, dynamical systems, numerical analysis, stochastic simulation, uncertainty quantification, control theory, or data assimilation. You have a proven interest in applications in energy systems, geosciences, materials science or chemistry, and you are willing to initiate or participate in research projects that relate to the Dutch national policy on science and R&D (involving e.g. the themes “Energy”, “High-Tech Systems and Materials”, “Chemistry” and “Water”).

For more information, please visit, Application deadline is 10 August 2013.

Postdoc Position, Computational Mathematics, Univ of Coimbra

May 31, 2013. The CMUC|Department of Mathematics of the Faculty of Sciences and Technology of the University of Coimbra (under the project below) invite applications for an one-year Postdoctoral Position in Computational Mathematics, beginning September 2013 (or earlier July/August 2013).

The focus of the research is on imaging sciences and scientific computing. It involves variational image processing, image analysis, partial differential equations, numerical analysis, optimization, visualization, and inverse problems in imaging, with applications in medicine and earth observation imagery.

Applicants should have a PhD in Mathematics or Computational Sciences and Engineering (preferably obtained after December 31, 2010). The position obeys to the Portuguese scholarship system and the corresponding salary is €1495 per month (tax free). No teaching duties are associated with the position.

Applicants should send by email to the following information : a)Curriculum vitae (publication list included). b) Statement of research interests (one page maximum, describing concisely scientific interests and the relation with the proposed post doctoral position). Names and email-addresses of at least two scientists willing to provide references.

Period for applications : from June 06th to June 20th, 2013.

This position is funded by the research project “Advances in Image Processing and Inverse Problems: Applications in Medical and Earth Observation Imagery, and Biomathematics, PTDC/MAT-NAN/0593/2012“ - Research project of FCT (Fundação para a Ciência e a Tecnologia, Portugal). Contact for further information: Isabel M. Narra Figueiredo ( ).

Postdoc Postion, Computational Electromagnetics

May 13, 2013. EPSRC funding (U.K.) has recently been awarded for a large collaborative project between the College of Engineering at Swansea University, the School of Computer Science and Informatics and the School of Mathematics both at Cardiff University. The project will investigate the solution of the Maxwell inverse problems for a medical imaging application and will involve several different strands including theoretical analysis, numerical analysis and computational techniques as well as scientific computing. The project is being led by Dr P.D. Ledger (Engineering, Swansea) and Professors Brown (Computer Science, Cardiff), Marletta (Mathematics, Cardiff) and Walker (Computer Science, Cardiff).

At this time, a 2-year post-doctoral research officer position is available on the development and implementation of computational techniques for Maxwell’s equations and their associated inverse problem at Swansea University. For further details on this position and how to apply for this post please see weblink1 or weblink2

and select the post with reference AC00438. The closing date for this position is 23rd May 2013. If you have questions about this position please contact Dr Ledger, his contact details are Dr Ledger, College of Engineering, Swansea University +44 (0) 1792 602554,

Earth Observation Data Analyst/Programmer

May 11, 2013. Plymouth Marine Laboratory (PML) is looking to appoint an Earth Observation Data Analyst / Programmer. PML is recognised internationally as a dynamic, highly innovative, independent and impartial deliverer of scientific research and advice on the marine environment.

It is also available at:

Postdoc Position, Imaging, University of Liverpool, UK

May 5, 2013. Applications are invited from outstanding candidates to join the Department of Mathematical Sciences at the University of Liverpool for a three year post-doctoral position.

Candidates should have a PhD in Applied/Computational Mathematics and experience in the area of Numerical Optimisation and PDEs. Knowledge of variational models, convex analysis, imaging modelling and programming would be advantageous. Good written and verbal communication skills and a track record of publication in leading journals are essential.

The consortium of 4 UK Universities (Liverpool, Edinburgh, Durham and Heriot- Watt) was recently awarded a major research grant of 1.3 million by the EPSRC to undertake a multidisciplinary project entitled “A novel diagnostic tool: from structural health monitoring to tissue quality prediction”; three more posts will be advertised.

Further details, including salary and application forms, can be found at The closing date for applications is May 24th. Informal enquiries can be made to Prof. Ke Chen ( /

PhD Position, Applied Mathematics, TU Braunschweig

May 5, 2013. At the Institute for Analysis and Algebra at the TU Braunschweig we are searching a PhD student (salary according to TV-L EG 13, see The position starts at 01.09.2013 (earlier start is possible) and is initially limited to two years; further extension is possible.

We are looking for candidates with a degree (Masters or Diploma) in mathematics above average, a very good knowledge in numerical mathematics and functional analysis, a strong background in scientific computing or optimization. Good knowledge of German and strong interest in applied mathematics is required. We suppose that the candidate brings a high commitment for scientific research.

The responsibilities include participation in teaching and independent research in the work group of Prof. Dirk Lorenz in field of applied mathematics (especially mathematical imaging and inverse problems).

Please send your application including CV, copies of certificates and letters of recommendation (if any) in electronic form via e-mail to Prof. Dirk Lorenz. A pdf of the job advertisement for posting on bulletin boards can be found here

Juniorprofessor (W1) in Numerical Reservoir Engineering

May 5, 2013. Faculty of Georesources and Materials Engineering. We are seeking qualified applicants for teaching and research in the area of Numerical Reservoir Engineering. The starting date is as soon as possible. Recognized expertise in the following areas is particularly welcome: reservoir engineering, modeling and computational method development . The professor is expected to support the study programs “Applied Geosciences”, “Applied Geophysics” and “Georesources Management”, offering courses in high-performance computing and computational methods in geosciences. The position is integrated in the graduate school AICES and should contribute to its graduate training programs. One or more of the following research topics should be represented: uncertainty quantification in the analysis of geological reservoirs and optimal experimental design (OED); applications in the exploitation or storage of hydrocarbons, geothermal energy, climate-relevant trace gases and subsurface storage; optimization of exploration and operation of reservoirs based on inverse modelling.

You should have a completed university degree and a special aptitude for scientific work which is generally verified by means of an outstanding doctorate. Ability in and commitment to teaching are essential. German is not necessary to begin but will be expected as a teaching language within the first 5 years. However, teaching in the international master programs will be primarily in English.You will engage in initiating interdisciplinary collaborations and projects of geoscientists and engineers. This is a tenure track position. Tenure is subject to evaluation.

The application should include supporting documents regarding success in teaching. Please send a cover letter stating research aims and a CV to: An den Dekan der Fakultät 5 der RWTH Aachen, Univ.-Prof. Dr. rer. nat. Ralf Littke, 52056 Aachen, Germany. The deadline for applications is June 24, 2013.

This position is also available as part-time employment per request. RWTH Aachen University is certified as a family-friendly university and offers a dual career program for partner hiring. We particularly welcome and encourage applications from women, disabled people and ethnic minority groups, recognizing they are underrepresented across RWTH Aachen University. The principles of fair and open competition apply and appointments will be made on merit.

Open position for a W2-professorship (Associate Professor) on Inverse Problems

May 3, 2013. We are happy to announce an open position for a W2-professorship (Associate Professor) on Inverse Problems at the University of Wuerzburg, Germany

The Chair of Scientific Computing at the University of Wuerzburg, Germany would like to announce a W2-professorship (Associate Professor) on Inverse Problems.

This is a permanent position for a Scholar of distinction in the area of scientific computing and inverse problems who complements the existing research profile of mathematics in Wuerzburg and actively participates to collaborative research projects with natural and engineering sciences and medicine. A detailed description can be found under the following link:

Data Assimilation Scientist at the Met Office

May 1, 2013. The Data Assimilation and Ensembles (DAE) section of the Met Office's Science programme undertakes research and development in observations processing, data assimilation and ensemble forecasting. The work of DAE is focussed on improving the quality of Met Office forecasts, especially of severe weather over the UK.

DAE is currently advertising a number of permanent scientific positions based at our headquarters in Exeter, UK. The positions are in the areas of a) Advanced DA methods (e.g. 4DEnVar), b) Assessing/optimizing the impact of observations within global DA (currently hybrid 4D-Var), and c) Two positions in convective-scale DA (moisture assimilation, 3/4D-Var development/testing).

To find out more about these exciting opportunities to join DAE, see:

Postdoc Position, Imaging, Univ of Liverpool, UK

April 29, 2013. Applications are invited from outstanding candidates to join the Department of Mathematical Sciences at the University of Liverpool for a three year post-doctoral position.

Candidates should have a PhD in Applied/Computational Mathematics and experience in the area of Numerical Optimisation and PDEs. Knowledge of variational models, convex analysis, imaging modelling and programming would be advantageous. Good written and verbal communication skills and a track record of publication in leading journals are essential.

The consortium of 4 UK Universities (Liverpool, Edinburgh, Durham and Heriot- Watt) was recently awarded a major research grant of 1.3 million by the EPSRC to undertake a multidisciplinary project entitled ¡°A novel diagnostic tool: from structural health monitoring to tissue quality prediction¡±; three more posts will be advertised.

Further details, including salary, can be found at The closing date for applications is May 24th. Informal enquiries can be made to Prof. Ke Chen ( /

Postdoc Position, Optimization, Univ of Edinburgh, UK

April 29, 2913. Applications are invited for a 2-year Postdoctoral Research Fellow position in Optimization in the School of Mathematics at the University of Edinburgh, United Kingdom. The successful candidate will join the Edinburgh Research Group in Optimization ( and will be part of a team working on “Accelerated Coordinate Descent Methods for Big Data Problems”.

The fellow will work closely with Dr Peter Richtarik; visiting team members include Prof Srebro (Chicago) and Prof Nesterov (Louvain-la-Neuve).

Position Start Date: September 1, 2013 (it might be possible to accommodate a later starting date; up to January 1, 2014)

Application Deadline: May 24, 2013 @ 5pm GMT

The ideal candidate will be an enthusiastic and creative individual with a Ph.D. in Operations Research, Machine Learning, Applied Mathematics, Computer Science, or a related field and will have strong track record. Individuals with background in gradient methods for large-scale optimization and good programming skills are particularly encouraged to apply.

More information and online application: For informal inquiries please contact Dr Peter Richtarik at

Pattern Recognition for Neuroimaging Toolbox (PRoNTo) course

April 24, 2013. We are pleased to announce the next PRoNTo course at UCL, London, UK, on May 21-22, 2013.

This two-day course will offer a comprehensive coverage of all PRoNTo features and functionalities, including: - introduction to neuroimaging and machine learning concepts - specific pattern recognition methods for neuroimaging - demonstration and hands on session

For further information and registration, please see:

W2-Professorship Position, Inverse Problems, Univ of Wuerzburg, Germany

April 24, 2013. The Chair of Scientific Computing at the University of Wuerzburg, Germany would like to announce a W2-professorship (Associate Professor) on Inverse Problems.

This is a permanent position for a Scholar of distinction in the area of scientific computing and inverse problems who complements the existing research profile of mathematics in Wuerzburg and actively participates to collaborative research projects with natural and engineering sciences and medicine.

A detailled description can be found under the following link:

Tenure Track Positions on Machine Learning and Data Analysis

April 16, 2013. The positions are located at the University's Department of Information and Computer Science (, and are open to outstanding individuals who hold a doctorate and have excellent potential for a successful scientific career. Candidates in the area of machine learning and data analysis are especially welcome.

Detailed information about the position, as well as the application process and its requirements, is provided at and The closing date of the call is May 20, 2013.

Numerical Mathematics and Applications, Spain, Jun 2013

April 16, 2013. Lectures on Numerical Mathematics and Applications, 3-4 June 2013, Zaragoza (Spain)

This will consist of six lectures of two hours each, given by renowned prestige professors of different Universities, related to theory and application of numerical mathematics. The programme will include the following speakers:

  1. Alfio Borzi - Multigrid methods for optimal control problems with PDE constraints
  2. Cornelis W. Oosterlee - Numerical Mathematics Techniques in Computational Finance
  3. Ulrich Rüde - Introduction to Parallel Scientific Computing
  4. Volker Schulz - Introduction to shape optimization
  5. Stefan Vandewalle - (to confirm the title)
  6. Irad Yavneh - Introduction to multiscale computational methods with applications to image processing

The courses are addressed mainly to newly-graduated, PhD students and professionals from engineering schools and applied science Universities from all over the world. The main aim of the courses is to introduce young researchers to the modeling and simulation of different problems of partial differential equations. All the courses will be held in English language.

Deadline for registration: 1st May 2013

For further details and registration please see For more information, contact:

Research Associate in Manchester

April 9, 2013. Manchester Research Associate in 4D Image based quantification and simulation REF: EPS-02440

Working on an EPSRC and Industrial collaborator project, you will develop 4D image analysis and image based simulation techniques to apply to two main projects, (1) nano-scale phenomena (flow and fracking) in shales; and (2) mineral extraction from ores. Based at Diamond/RCaH, you will work closely with leading academics at the University of Manchester and with other leading Universities and Companies, including Imperial College (on mineral extraction).

Closing date: 18/04/2013 Employment type: Fixed Term, Tenable from 1st July 2013 for 3 years Salary: Grade 6 (currently £29,541 - £36,298 p.a.) Location: Manchester X-ray Imaging Facility within the Research Complex at Harwell, Rutherford Appleton Laboratories, Didcot, Oxfordshire

Inverse Maxwell Problems - 2 Postdocs in Cardiff and Swansea

April 9, 2013. EPSRC funding (U.K.) has recently been awarded for a large collaborative project between the College of Engineering at Swansea University, the School of Computer Science and Informatics and the School of Mathematics both at Cardiff University. The project will investigate the solution of the Maxwell inverse problems for a medical imaging application and will involve several different strands including theoretical analysis, numerical analysis and computational techniques as well as scientific computing. The project is being led by Dr P.D. Ledger (Engineering, Swansea) and Professors Brown (Computer Science, Cardiff), Marletta (Mathematics, Cardiff) and Walker (Computer Science, Cardiff).

At this time, two 2-year post-doctoral research associate/officer positions are available and it is anticipated that a further position will be available next year. The first is on the theoretical analysis of Maxwell inverse problems and is to be appointed at Cardiff University. For further details on this position and how to apply for this post please see

Weblink or select the post with reference 846BR from

The second post is on the development and implementation of computational techniques for Maxwell’s equations and their associated inverse problems and is to be appointed at Swansea University. For further details on this position and how to apply for this post please see

Weblink or

Launch of the Chaire Poincaré - Institut Henri Poincaré (Paris, V)

April 9, 2013.

The Poincaré Chair owes its creation and its existence for the next five years to the reward the Clay Mathematics Institute, (CMI, Providence, Rhode Island) has reserved for the solution of the Poincaré Conjecture.

The aim of this program, started in January 2013 by the Henri Poincaré Institute, (Paris, V°), is to allow young talented mathematicians to develop their skills in outstanding working conditions… just like Grigori Perelman benefited from a chair from the Miller Institute in Berkeley (California, USA) at the beginning of his career.

This research program of a *6 month or 1 year* duration comes with *a generous salary, an ideal mathematical environment in Paris, and no obligations* ; it is open to all thematics in mathematics.

The objective is to give young researchers on the edge of a promising international career the means to develop deep and audacious research projects, as well as to base their international recognition.

If you have any questions, please send an email to Sylvie Lhermitte via the following general email address:

For more information

University of Bern PhD Position in Statistics

UNIVERSITY OF BERN (INSTITUTE OF MATHEMATICAL STATISTICS AND ACTUARIAL SCIENCE) PhD POSITION in STATISTICS Funding from the SNF (Swiss National Science Foundation) is available for a PhD student to work on a project supervised by Dr. David Ginsbourger and Prof. Ilya Molchanov. This project focuses on novel set estimation methods relying on random fields models. The research work will involve concepts and techniques from probability theory, spatial statistics, machine learning, and applied functional analysis. It is anticipated that the prospective student has a background in mathematics, applied mathematics and/or statistics, a high motivation for research in collaborative and interdisciplinary environments, as well as some programming experience. See

New PhD School in Trieste, Italy

April 5, 2013. The Italian Government decided to open a new Doctoral School in L'Aquila named GranSasso Science Institute GSSI. There will be four PhD programs: Physics, Mathematics, Computer Sciences and Urban Studies. Math and Physics are joint PhD programs with SISSA - ISAS in Trieste.

The web site

Robust data reconstructin and network science PDRA Positions

March 25, 2013. Sandia in Livermore, CA. ROBUST DATA RECONSTRUCTION: We currently have an opening for a postdoctoral researcher in the area of robustly reconstructing signals contaminated by adversarial noise. We will appeal to the techniques of signal processing such as compressed sensing, but extend them to handle non-Gaussian and possibly unbounded noise. The successful applicant will be expected to conduct innovative research, to develop open-source software, to present his or her findings at leading conferences and workshops, and to publish his or her results in leading journals. This postdoctoral position is for motivated and enthusiastic individuals with a background in engineering, statistics, computer science, mathematics, or related areas. (

NETWORK SCIENCE: We currently have an opening for a postdoctoral researcher in the area of scientific network analysis for attributed and time-evolving networks, with a focus on feature discovery and scalable models. The successful applicant will be expected to conduct innovative research, to develop open-source software, to present his or her findings at leading conferences and workshops, and to publish his or her results in leading journals. This postdoctoral position is for motivated and enthusiastic individuals with a background in computer science, computer security, network science, mathematics, or related areas. (

Postdoctoral Positions at Warwick University, Inverse Problems and Data Assimilation

March 19, 2013. Two postdoctoral positions are available for 12 months, starting October 1st 2013, in the areas of inverse problems and data assimilation. You will join a research group in the area of Bayesian Inverse Problems in Differential Equations, led by Andrew Stuart of the Warwick Mathematics Institute. You will have experience and strong research potential in a number of the following research areas: Bayesian nonparametric statistics, filtering, data assimilation and inverse problems in PDEs. For details on the application process please go to:

Assistant/Associate Professor in Statistics

March 19, 2013. Applications and nominations are invited for the tenure-track position of Assistant/Associate Professor of Statistics in the Department of Statistics at the University of California, Riverside.

The position targets candidates with high quality research and strong teaching records, and general training in statistics or biostatistics with expertise preferably in more than one of the following areas: Statistical Methodology for Clinical Trials, Survival Analysis, Discrete Data Analysis, Large Scale Data Analysis, Nonparametric Statistics, Image Analysis, and Spatial Statistics. Qualified candidates must have a Ph.D. in Statistics or Biostatistics or a similar statistically oriented discipline. The position is effective July 1, 2013.

Reviews for the position begin immediately, and will continue until the position is filled. Interested applicants should send a letter describing how their qualifications and interests would fit with the position description along with their curriculum vitae to the search committee chair:

Tiffany Lindsey, 2317A Webber Hall, University of California, 900 University Avenue, Riverside, CA 92521-0138, USA,

New Directions in Bayesian Nonparametrics

March 19, 2013. The Collegio Carlo Alberto ( invites applications for a Post-doctoral research fellowship within the European Research Council Project “New Directions in Bayesian Nonparametrics”.

CANDIDATE PROFILE The successful candidate will be a highly motivated researcher holding (or being close to completion of) a PhD in Statistics or related areas. Other qualifications include significant programming skills and demonstrated research abilities. A background in any area of Bayesian Nonparametrics is desirable, though not essential. Knowledge of Italian is neither required nor advantageous.

CONTRACT DETAILS Two-year contract, renewable for two additional years, starting on October 1st, 2013. The salary is competitive with other European Research Universities, and generous additional research funds will be provided.

DEADLINE The closing date is March 31st, 2013. After the deadline, applications will be accepted on a rolling basis until the position is filled.

APPLICATION PROCEDURE AND FURTHER INFORMATION The complete call and the online application form are available at For enquiries please send an email to

Bayesian Inference for identifying and estimating causal effects in complex settings

March 19, 2013. The Department of Statistics, Informatics, Applications “G. Parenti” DiSIA at University of Florence (Firenze, Italy) invites applications for a Post-doctoral research fellowship within the Research Project “Mixture and latent variable models for causal inference and analysis of socio-economic data” FIRB-Futuro in Ricerca 2012 funded by the Italian Ministry of Research and Higher Education.

The research activity will focus on “Bayesian Inference for identifying and estimating causal effects in complex settings” (Please refer to for details regarding the project)

CANDIDATE PROFILE: The successful candidate will be a highly motivated researcher with a PhD in Statistics. Other desirable qualifications include significant programming skills, demonstrated research abilities and a background in Bayesian inference. Knowledge of Italian is not required; for help regarding the application process, the candidate can contact Alessandra Mattei (email:

DEADLINE: APPLICATIONS MUST BE SUBMITTED BY MARCH 27th, 2013, 1:00 p.m. (Rome local time)
TERM OF APPOINTMENT: One-year contract, renewable for one additional year, starting on May 1st, 2013.
Please refer to for further details regarding the position and the application process.

Postdocs on Statistical Analysis of Manifold Valued Data

March 19, 2013. Postdoctoral Research Associate/Fellow: “Statistical Analysis of Manifold Valued Data” University of Nottingham, UK

Research Associate/Fellow (Two posts, Fixed-term)
Reference SCI1249
Closing Date Monday, 22nd April 2013
Job Type Research & Teaching
Department School of Mathematical Sciences

For information about the School of Mathematical Sciences, which has strong and active research groups in areas including Statistics and Mathematical Medicine and Biology, see:

Informal enquiries may be addressed to Professor A T A Wood email: Please note that applications sent directly to this email address will not be accepted. For full details and information about how to apply for the posts see:

Postdocs on Imaging Techniques in Manchester

March 19, 2013. We have three new PDRA posts available working in the MXIF as part of the Manchester-Diamond Collaboration /RCaH, listed below. They are in:

  1. diffraction techniques
  2. imaging techniques/image based modeling for energy resources, and
  3. biomedical/biomaterials imaging.

Peter Lee, Director of the Manchester-Diamond Collaboration
Research Complex at Harwell, Rutherford Appleton Laboratory
Didcot, Oxon, OX11 0FA, United Kingdom

New Springer Textbook on Optimal Control

March 11, 2013. Today, Springer announced a range of new textbooks, including those touching the area of inverse problems and optimal control, for example

Functional Analysis, Calculus of Variations and Optimal Control
Series: Graduate Texts in Mathematics, Vol. 264
Clarke, Francis
2013, XIV, 591 p. 16 illus., 8 in color.

see Francis Clarke is Professor in Lyon, see, working on

Nonsmooth and Functional Analysis, 
Control Theory,
Calculus of Variations,
Differential Equations,
Optimization and 
Mathematical Modeling. 

More new Textbooks can be found at Newsletter of

Changes to NERC CASE studentships

March 8, 2013. United Kingdom. Info about Changes to NERC CASE studentships. NERC (National Environmental Research Council) is the UK's main agency for funding and managing research, training and knowledge exchange in the environmental sciences

NERC is changing the closing date and name of its CASE studentship scheme, to be consistent with BBSRC, MRC and STFC. In future NERC CASE Studentships will be known as Industrial CASE Studentships, in line with other Research Councils.

The Industrial CASE Studentship competition will continue to promote collaboration between the research community and the end-users of research and will still aim to achieve a benefit to both the end-user and to the student.

To enable applicants to recruit the best students the competition closing date will be brought forward by three months to late-July 2013 with a panel meeting in November or December 2013. This will be a common closing date for all councils' Industrial CASE competitions. The common closing date will allow us to transfer any applications which are better suited to another council's remit.

More information can be seen on the NERC website at

Data Assimilation and dynamic Inverse Problems in Meteorology and Beyond

Five Intensive Lectures (2013, Mar. 8 - 9) at Inha University, Korea given by Roland Potthast (German Meteorological Service & Univ. of Reading (UK))

Data Assimilation and dynamic Inverse Problems in Meteorology and Beyond
Lecture 1: Mar. 8 (Friday), 1:00-2:00
Data Assimilation, an introduction
Lecture 2: Mar. 8, 3:00-4:00
Variational Methods for Data Assimilation  
Lecture 3: Mar. 8, 5:00-6:00
The Kalman Filter 
Lecture 4: Mar. 9 (Saturday), 2:00-3:00
Ensemble Methods for Data Assimilation
Lecture 5: Mar. 9, 4:00-5:00
Obervation Systems (e.g. Radar, Radiances, GPS-Tomography and many more)

W2 Professorship Position, Biomedical Computing/Modeling

March 3, 2013. The Faculty for Mathematics and Computer Science of the Westfälische Wilhelms-Universität, Muenster, Germany, invites applicants for a W2-Professorship (f/m) for Biomedical Computing and/or Biomedical Modeling at the Institute for Computational and Applied Mathematics to be filled for a period of 5 years.

The open position is for the newly established Cluster of Excellence ”Cells in Motion-CiM” ( with interdisciplinary contributions from medicine, physics, mathematics, computer science, chemistry, pharmacy and biology. The applicant benefits as a principal investigator from the full infrastructure of the center.

The participant should be a renown expert in a topical research field of computational and applied mathematics, for example in mathematical modeling, numerical simulation or mathematical image processing. It is expected that the applicant contributes to the extension of the existing close collaboration between the Institute for Computational and Applied Mathematics and the life sciences in Münster, particularly in the context of CiM. Common research interests with the mathematical research priorities of the Insitute for Compuational and Applied Mathematics are desirable and it is expected that the candidate contributes actively in interdisciplinary projects in CiM as well as in interdisciplinary teaching. Moreover, it is expected that the applicant participates in the general teaching duties in applied mathematics.

Prerequisite for the application are academic achievements made as a Junior professor (assistant professor), by a Habilitation (postdoctoral qualification), as a member of the academic staff of a university or non-university research institute, or in a research position in business, industry, administration or other relevant fields in Germany or abroad.

We actively encourage applications from suitably qualified women. Female candidates with equivalent qualifications and academic achievements will be preferentially considered. We also welcome applications from candidates with severe disabilities. Disabled candidates with equivalent qualifications will be preferentially considered.

Applications with the usual documents (CV, certificates, list of publications, list of taught lectures and courses, scientific background, research plan) should be sent electronically in ONE pdf-file until the March 31, 2013 to

Westfälische Wilhelms-Universität Münster Dekan Fachbereich Mathematik und Informatik Einsteinstr. 62 48149 Münster

Assistant Professor in Computational Reconstruction Algorithms

DTU Physics and DTU Compute at the Technical University of Denmark invite applications for a position as Assistant Professor in Computational Reconstruction Algorithms. The position is available from June 1, 2013. The position is shared between the two departments and is associated with a newly established 3D Imaging Initiative at DTU. The assistant professor will be part of a team that develops computational reconstruction algorithms in multi-dimensional space for materials characterization, using data from large-scale measurement facilities such as synchrotrons, neutron sources and free electron lasers. Key elements of this work are the formulation of the underlying mathematical models and the utilization of large data sets for immediate applicability in materials physics studies. The Assistant Professor is expected to take part in teaching activities at both departments.

The candidate must demonstrate a strong background in mathematical/physical modeling and scientific computing, and must be able to work across the disciplines. Good communication skills are required. For more details, see:

Applications must be written in English and submitted online via the above home page by March 31, 2013. More Information can be obtained from

Professor Per Christian Hansen, DTU Compute;
Senior Researcher Søren Schmidt, DTU physics;

UCL Positions available in Inverse Problems

There are two positions available in Inverse Problems in Statistics and Computer Science: Inverse Problems in Statistics and Inverse Problems in Computer Science. More information from Simon ARRIDGE

A novel data-assimilation method to advance marine ecosystem understanding and predictions

Feb 22, 2013. Our PhD project on marine ecosystem data assimilation (NERC studentships 2013) is now advertised. The objective of this PhD is to implement and apply for the first time the novel particle filter method with a state-of-the-art biogeochemical model (the European Regional Seas Ecosystem Model, ERSEM, see e.g. [Blackford, et al. 2004]), for advancing our understanding and predictions of crucial marine ecosystem processes (e.g. eutrophication and carbon cycling).

Information on how to apply can be found at: or contacting: Mrs. Elizabeth Matthews, Human Resources, Plymouth Marine Laboratory, Prospect Place, Plymouth, PL1 3DH, UK. T: +44 (0)1752 633100; E: Quoting reference: PhD/1316/NERC.

Postdoc to Mid-Career Data Assimilation Researchers at RIKEN, Japan

Feb 21, 2013. Dear Colleague. I would appreciate your kind attention to the available position in Data Assimilation Research Team, RIKEN Advanced Institute for Computational Science, conveniently located in the beautiful and historic city of Kobe. RIKEN is known as the flagship research institute in Japan. We are hiring an enthusiastic scientist at the postdoc to mid-career levels, who will work on cutting-edge data assimilation research using the Japanese 10-Peta-Flops “K computer”.

Concerns about living in Japan? RIKEN has support for non-Japanese scientists. If you have any question, please feel free to contact me at

Postdoc in global estimation of soil moisture

Feb 19, 2013. The land surface data assimilation group at the Global Modeling and Assimilation Office (GMAO) at NASA Goddard Space Flight Center is seeking a postdoctoral researcher or scientist to support the assimilation of satellite data from the Gravity Recovery and Climate Experiment (GRACE) and Soil Moisture Ocean Salinity (SMOS) missions to improve the global estimation of soil moisture. This position is for two years, with the possibility of a one-year extension.

The scientist will develop and implement a joint GRACE and SMOS assimilation component within the Goddard Earth Observing System (GEOS) model and its associated Data Assimilation System (DAS) at the GMAO. The joint assimilation of GRACE derived terrestrial water storage variations and SMOS brightness temperature is expected to improve the estimation of root-zone soil moisture.

Required Skills:

  1. A PhD in Hydrology, Atmospheric Sciences, or equivalent experience is needed.
  2. Experience of coding and running global land surface models and data assimilation systems on high-end computing systems is highly desirable.
  3. Hands-on ability to run data-processing applications such as Matlab, IDL, or GrADS is needed.
  4. A proven ability to communicate through conference presentations and scientific publications is needed.

The position is with the Universities Space Research Association (USRA) under the Goddard Earth Sciences Technology & Research (GESTAR) cooperative agreement between NASA/GSFC and USRA. The job-ad can be found here: <>

Postdocs in Remote Sensing

Please consider also the other three post-doc opportunities in remote sensing field available in the frame of ITaRs MarieCurie FP7 European project. All the details are at the following link:


Feb 15, 2013. The Finnish Center of Excellence in Computational Inference Research (COIN), a joint research center of Aalto University and University of Helsinki, is now seeking postdoctoral researchers to join us in developing and applying new methods of machine learning and probabilistic modeling, together with professors Samuel Kaski and Petri Myllymäki, with opportunities for collaboration with other professors at COIN. There are opportunities for both methods development and theoretical work, and interdisciplinary applications. Deadline 28 February 2013 at 3:00 p.m. EET. Please see more details of the application procedure at

The Finnish Center of Excellence in Computational Inference Research (COIN) works on fundamental questions of inference and in applications in Intelligent Information Access, Computational Molecular Biology and Medicine, Computational History, Computational Climate, Computational Neuroscience and other directions yet to be determined. More information: (COIN) (Aalto University) (University of Helsinki)

Postdoctoral Position in Earth System Analysis to Inform Decisionmaking

A postdoctoral position is available in the Department of Geosciences at the Pennsylvania State University. The successful candidate will join an interdisciplinary research team that analyzes two main questions: (i) How can paleoclimatic and instrumental records improve our mechanistic understanding of the climate system and inform climate predictions? (ii) How can this scientific information be used to improve the design of climate-risk managing strategies? The ideal candidate would have a strong background in a field such as Earth system science (e.g., atmospheric science, geosciences, oceanography), Bayesian statistics, or applied mathematics. Interests in decisionmaking under uncertainty and in collaborations involving Earth scientists, statisticians, decision-analysts, economists, and philosophers would be further advantages.

The candidate will have considerable freedom to collaboratively design the research within the scope of the broad questions outlined above. Possible example projects include uncertainty analysis of climate model projections, decision-analysis of climate change adaptation and mitigation strategies, and risk analysis of proposed geoengineering strategies. The postdoctoral research associate will enjoy opportunities for transdisciplinary research collaboration and professional mentoring by a team of experts in relevant disciplines through the recently-formed Network for Sustainable Climate Risk Management (

The position is available immediately and will remain open until filled. Initial appointment will be for a period of one year, with excellent possibility of renewal for one or more additional years. The salary will be competitive, commensurate with experience, and will comply with Penn State University guidelines. Successful completion of a background check is required prior to employment. To apply, please email a single PDF file (maximum 10 MB) containing a letter of interest, a CV, reprints of two manuscripts, and contact information for three references to Klaus Keller (

The Pennsylvania State University is committed to affirmative action, equal opportunity, and the diversity of its workforce.

Associate professorship in Statistics (Data Analysis) at Tampere, Finland

Feb 14, 2013. Applications are invited for a tenure track appointment to an associate professorship in Statistics (Data Analysis) at the School of Information Sciences in the University of Tampere, Finland. The successful applicant will be appointed for a fixed term of five years.

The fields represented at the School of Information Sciences include a wide selection of disciplines concerned with the processing, management and use of information and data. The School of Information Sciences is now setting up a new English-language Master's degree programme in Data Analysis that combines data analysis methods from statistics and computer science. The successful candidate for the associate professorship in statistics will have a central role in planning this Master's degree programme and will mainly teach courses that are part of or contribute to this degree programme.

The person appointed associate professor must hold an appropriate doctoral degree, high-level academic qualifications and experience in directing scientific research, be able to provide high-quality, research-based instruction as well as to have a track record of international scientific activities. From the point of view of the associate professor’s tasks it is essential that the applicant is fluent in English.

The remuneration of the post is based on level 7 of the job-related salary element for teaching and research personnel in the salary system of the Finnish universities, at present EUR 3799,56 per month. In addition, a personal salary element based on personal performance is paid which is at most 46.3 % of the job-related salary element. The closing date for applications is at 15:45 (Finnish time) on Thursday 21 March 2013.

More information is at

Assistant Professor Faculty Position in Data Assimilation, Maryland, USA

Department of Atmospheric & Oceanic Science (AOSC), University of Maryland, College Park

Feb 14, 2013. Maryland invites applications for a tenure-track faculty position in data assimilation. The successful candidate is expected to be a leader in the development of advanced computational algorithms in atmospheric, ocean, land surface, and biogeochemical data assimilation, and to develop an independently funded program building on the activities of the thriving interdisciplinary weather and chaos group. The candidate should demonstrate research accomplishments of originality and depth with the potential to be an international scientific leader in data assimilation. The candidate should also have a strong commitment to the educational mission of the Department, including graduate student mentoring.

Application online (Faculty - Position Number 105228):

INOE, Romania: Open postdoc position FP7 Marie Curie project ITARS

Influence of long-range transported aerosols on air quality from in situ and remote sensing data

The position description related to the post-doc in our institute is available at and also on EURAXEES at:

Ph.D Anca Nemuc, Laser Remote Sensing Department National Institute of R&D for Optoelectronics INOE email:

University of Bern: Open Post-Doc Position in microwave radiometry and retrieval techniques

Feb 4, 2013. The Institute of Applied Physics, University of Bern, Switzerland, is leading in the field of microwave radiometry of atmospheric constituents. We develop and operate radiometers for profiling of water vapour, ozone, temperature, and most recently also for wind, in the troposphere and the middle atmosphere. Instruments are operated from our observatories in Bern and Zimmerwald and also during international campaigns. Our microwave radiometers contribute to the Network for the Detection of Atmospheric Composition Change, NDACC. More details about our activities can be found on the internet:

To strengthen our team, we are looking for a postdoc, with a background in microwave radiometry and retrieval techniques who will be involved in the operation of our instruments and the data analysis. One aspect of the research activities will be the investigation of the effect of clouds and liquid water on the retrieval of middle atmospheric ozone and water vapour profiles based on information from auxiliary measurements. Another research topic is the retrieval of stratospheric temperature profiles from the oxygen line at 60 GHz and effects of the Zeeman splitting. We expect that you have a PhD in atmospheric physics and expertise in retrieval techniques and preferably also in microwave radiometry. You love to work in an international team and find to work with instruments challenging. The position is for 18 – 24 months If interested, please send your application (letter of motivation, CV, publication list and three names of references) by email to Prof. N.Kämpfer The position will be kept open until a suitable candidate is appointed.

If you want to add a brief report to a research group or a researcher, or if you want to communicate an open position, please send an email to You can either send us the material you would like to be included, or get access and put the material on yourself.
groups_2013.txt · Last modified: 2014/01/04 16:31 by potthast