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August 28, 2017. Assistant or Associate Professor (Tenure Track position) in Big Data and Modelling of Uncertainties in Environmental Change, Department of Applied Physics, Kuopio Campus
The University of Eastern Finland, UEF, is one of the largest multidisciplinary universities in Finland. We offer education in nearly one hundred major subjects, and are home to approximately 15,000 students and 2,500 members of staff. We operate on three campuses in Joensuu, Kuopio and Savonlinna. In international rankings, we are ranked among the leading universities in the world.
The Faculty of Science and Forestry operates on the Kuopio and Joensuu campuses of the University of Eastern Finland. The mission of the faculty is to carry out internationally recognised scientific research and to offer research-education in the fields of natural sciences and forest sciences. The faculty invests in all of the strategic research areas of the university. The faculty’s environments for research and learning are international, modern and multidisciplinary. The faculty has approximately 3,800 Bachelor’s and Master’s degree students and some 490 postgraduate students. The number of staff amounts to 560. http://www.uef.fi/en/lumet/etusivu
We are now inviting applications for
an Assistant or Associate Professor (Tenure Track position) in Big Data and Modelling of Uncertainties in Environmental Change, Department of Applied Physics, Kuopio Campus
The position is research-oriented, and the specific duties associated with the position are research and teaching addressing advanced data analysis and computational inverse problems methods in uncertainty quantification of sustainability of natural resources, in particular, related to atmospheric and ecosystem processes. A successful candidate should have a strong background in applying computational methods to physical phenomena. In addition, knowledge on transport phenomena and/or atmospheric aerosol processes is an advantage. The research is implemented in the Computational Physics and Inverse Problems group (http://venda.uef.fi/inverse/) in close collaboration with the Aerosol Physics group (https://www.uef.fi/fi/web/aerosol).
The currently open position will strengthen the activities of the university’s strategic research areas. Please see: http://www.uef.fi/en/tutkimus/strategiset-tutkimusalueet-2015-2020
The person can enter the Tenure Track position from the Assistant or Associate Professor level, depending on the qualifications of the appointee. At the end of the term, the merits of the person will be evaluated to determine whether he or she can proceed to the next level in the Tenure Track without public notice of vacancy. The criteria, objectives and results to be achieved during the term in order to proceed to the next level of the Tenure Track will be agreed with the appointee in detail when signing the contract of employment. An Associate Professor can be invited to a professorship on the basis of expert statements.
A person to be appointed as an associate professor or an assistant professor in the tenure track shall hold a suitable doctoral degree and have good teaching skills. Furthermore, a person to be appointed as an associate professor in the tenure track shall have the prerequisites for fulfilling the qualification requirements of a professor by the end of the tenure track term (UEF University Regulations 31 §).
Scientific achievements in the field of the position (to be demonstrated through publications) and previous experience in university-level teaching, supervision of Bachelor’s, Master’s and doctoral students, responsible tasks in research projects, acquisition of research funding and engagement in international cooperation will be regarded as merits. A successful applicant will also have good cooperation skills.
English may be used as the language of instruction and supervision in this position.
The position will be filled for a fixed term of 4 years from 1 January 2018 or as agreed. The position is filled for a fixed term due to it being a fixed-term research and teaching position (Tenure Track).
The salary of the position is determined in accordance with the salary system of Finnish universities and is based on level 6-7 of the job requirement level chart for teaching and research staff (€ 3,340.77 – 3,851.33/month). In addition to the job requirement component, the salary includes a personal performance component, which may be a maximum of 46.3% of the job requirement component.
For further information on the position, please contact Head of the Department, Professor Kari Lehtinen, tel.+358 40 867 7844 , email: firstname.lastname@example.org For further information on the application procedure, please contact Executive Head of Administration Arja Hirvonen, tel. +358 44 716 3422, email: email@example.com.
A probationary period is applied to all new members of the staff.
The electronic application is required to contain the following appendices:
- a résumé or CV - a portfolio of teaching merits - a list of publications - a research proposal not exceeding five pages in length - copies of the applicant's academic degree certificates/ diplomas, and copies of certificates / diplomas relating to the applicant’s language proficiency, if not indicated in the academic degree certificates/diplomas
The application needs to be submitted no later than 22 September 2017 (by 24.00 hours Finnish time) by using the electronic application form.
Link for the application: Apply for the job (the electronic application form can be found also
from the description of the open position at http://www.uef.fi/en/uef/en-open-positions )
20.5.2015 The research group mathematical statistics (Prof. A. Munk) at the Department of Mathematics and Computer Science of the University of Göttingen is seeking to fill in a
PostDoc Position "Mathematical Statistics in Nanoscale Fluorescence Microscopy" (Salary group 13 TV-L, 39,8 h/week)
at the interface of mathematical statistics, inverse problems and biophysics. This position is located in a new project A07 “Statistical Inference for Molecules: How many, when and where?” of the Collaborative Research Center 755: “Nanoscale photonic imaging”, which is a collaboration with the “NanoBiophotonics” lab (Prof. S. W. Hell) at the Max Planck Institute for Biophysical Chemistry. The position is limited for two years initially with the possibility of an extension.
The aim of this project is to exploit the effect of photon antibunching in order to count molecules in sub-diffraction fluorescence microscopy for cell imaging. This allows then to render the distribution of biologically relevant proteins in the sample with nanoscale resolution, which is the ultimate aim in super-resolution microscopy. The successful candidate will develop a statistical model, algorithms to estimate and provide confidence statements for the number of molecules. This will be done in close collaboration with an interdisciplinary team of researchers from nanobiophotonics, mathematical statistics and inverse problems.
We are looking for talented, self-motivated individuals with a strong background in mathematical statistics or a related field. Good programming skills and basic knowledge of (bio)physics is desirable. Please send your application with the usual documents (also in electronic form) until May 31st, 2015 to Prof. A. Munk, Georg-August-Universität Göttingen, Institut für Mathematische Stochastik, Goldschmidtstr. 7, 37077 Göttingen, email: firstname.lastname@example.org
The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply as they are underrepresented in this field. Disabled persons with equivalent aptitude will be favored.
For further requests please contact Prof. A. Munk or Dr. Frank Werner, Max Planck Institute for Biophysical Chemistry, Research group “Statistical Inverse Problems in Biophysics”, phone: +49 551 201-1628, email: Frank.Werner@mpibpc.mpg.de
We request that you send us copies of your application documents. We will destroy the documents after a holding period of five months. It will only be returned if a sufficiently prepaid and addressed envelope is enclosed.
Dr. rer. nat. Frank Werner Group leader 'Statistical Inverse Problems in Biophysics' Max-Planck-Institute for biophysical chemistry Am Faßberg 11 37077 Göttingen http://num.math.uni-goettingen.de/~fwerner/
March 16, 2015. Dear Colleague,
at Deutscher Wetterdienst in Frankfurt/Offenbach in my division we have a 4-year-research position open in data assimilation of satellite data (focus on SEVIRI) for our ensemble data assimilation systems:
Please pass on to whoever might be interested - I think it is a very nice opportunity in a dynamic and well connected research group. Working languages are English and German. Applications need to be submitted online via the governmental system until April 7, interviews will be in the second half of April.
Many thanks, Roland
Roland Potthast, German Meteorological Service - Deutscher Wetterdienst Research and Development, Head Division FE 12 (Data Assimilation) Frankfurter Strasse 135, 63067 Offenbach, Germany Tel.: +49 69 8062 2713, Fax DWD: +49 69 8062 3721 Email.: Roland.Potthast@dwd.de Professor for Applied Mathematics University of Reading, Department of Mathematics, Whiteknights, PO Box 220, Reading RG6 6AX, United Kingdom Tel.: +49 (0)173 54 28 716 Email.: email@example.com Web: http://www.inverseproblems.info/potthast/
Nov 11, 2014. The CMCC is taking into consideration the possibility to hire a talented, motivated and proactive researcher to cover one open position on ocean modelling and data assimilation. The location is CMCC Numerical Application and Scenarios (ANS) Division in Bologna, Italy.
The primary purposes for this position is to improve a multivariate global ocean data assimilation system that is used at CMCC for both long-term ocean re-analyses and, since recently, high- resolution operational forecasting. Estimating the state of the ocean with assimilation techniques that meld numerical general circulation model information with observations is a primary target both in the context of climate variability assessment and for forecasting purposes such as the initialization of coupled ocean– atmosphere predictions. Our aim is to improve the global ocean data assimilation system presently running in our group in order to take advantage of the most advanced techniques available within the data assimilation community.
The successful candidate will be asked to work on the computation of background-error covariances through ensemble. He/she will also collaborate to the improvement of a very high resolution analysis system devoted to operational applications, which is at pre-operational phase at CMCC. The successful candidate is expected to actively work on these research topics in close collaboration with the other CMCC researchers.
For more information see http://www.cmcc.it/jobs/3129-public-invitation-to-express-interest-for-one-research-position
Nov 6, 2014. The Department wishes to make a new academic appointment in either of the areas:
Networks and Collective Behaviour
Inverse problems and applications.
We seek applications from excellent candidates in either of these areas, whose work complements and strengthens current research in Mathematical Sciences at Bath.
We particularly welcome applications from researchers whose work makes contact with both mathematics and statistics.
Salary: Lectureship: starting from £38,511 rising to £45,954; Senior Lectureship/Readership: starting from £47,328 rising to £54,841.
Closing Date: 1st December 2014 Interviews will take place in the period 19th – 20th January 2015
A successful applicant at Senior Lecturer/Reader Level (roughly equivalent to Associate Professor) will have a strong track record of independent research of international standing. At Lecturer level (roughly equivalent to Assistant Professor), a successful applicant will have shown (at least) exceptional potential for achieving such research excellence.
The appointee will be expected to sustain a leading research programme, and to be active in developing and submitting competitive applications for external funding.
Candidates should also have a strong interest in pursuing excellence in undergraduate and postgraduate teaching and in supervising graduate students.
Both the Department and the University are committed to providing a supportive and inclusive working environment. We are working to improve the present gender balance within the Department, and particularly welcome applications from women.
Alongside completion of the online application form, candidates should upload: (i) a full Curriculum Vitae, (ii) a statement of research interests of up to 3 pages explaining how their interests would complement and strengthen existing activity at Bath, (iii) a one page outline of teaching strategy, and (iv) the names and addresses of at least three referees.
More information can be found at http://www.bath.ac.uk/jobs/Vacancy.aspx?ref=SS2737. Informal enquiries may be addressed to
Professor Jonathan Dawes (J.H.P.Dawes@bath.ac.uk , +44 (0)1225 386223), Dr Finn Lindgren (F.Lindgren@bath.ac.uk , +44 (0)1225 385331) or the Head of Department, Professor Ivan Graham (I.G.Graham@bath.ac.uk , +44 (0)1225 386343).
Oct 28, 2014. The School of Meteorology of University of Oklahoma invites applicants for several post-doctoral research scientist positions in the area of numerical modeling and data assimilation. The successful candidate will work with one of the leading, vibrant and productive teams who conduct active research and development in numerical modeling and data assimilation for various scales and atmospheric phenomena. Successful candidates will conduct research to advance the sciences in numerical modeling, data assimilation, numerical prediction, and predictability on one of the following topics:
In addition to work with a leading, vibrant and productive team, the successful candidates will work in the National Weather Center where School of Meteorology resides. National Weather Center houses the University’s academic and research programs in meteorology, state organizations, and the U.S. National Oceanic and Atmospheric Administration (NOAA)’s Norman-based weather research and operational programs.
Such academic and working environment will provide unique opportunities for the candidates to further build and advance their careers. Salary will be competitive based on experience and qualification. University of Oklahoma offers competitive benefits. Positions are open now until filled and full consideration will be given to applications received by 15 Jan. 2015.
To apply for the positions, please submit electronic applications, including a letter of research interest and experience, CV, and three names of references including their contact information to Prof. Xuguang Wang, at, firstname.lastname@example.org.
Oct 2, 2014. We have a postdoc position concerning an OSSE application to wind observations open at the GMAO using the NCEP/GMAO data assimilation system. If you know of any finishing student or postdoc who may be interested, let me know.
Dr. Ronald M. Errico phone: 301-614-6402 Global Modeling and Assimilation Office fax: 301-614-6246 Code 610.1, Goddard Space Flight Center email@example.com Greenbelt MD 20771 Building 33 Room C218
Sept 22, 2014. The Department of Applied Mathematics and Statistics at the Colorado School of Mines invites applications for an anticipated position in applied mathematics at the rank of Assistant Professor beginning in fall 2015. Preference will be given to those with expertise in mathematical modeling and demonstrated involvement in interdisciplinary applications. Faculty research interests include scientific computing, numerical analysis, wave theory, multi-scale simulation, partial differential equations, inverse problems, nuclear science, and mathematical biology.
See the following flyer from the department website for more information, including how to apply: http://ams.mines.edu/public_html/flyers/15-081060-AMS-AsstProfessor.pdf
Review of applications will begin by November 15, 2014.
Sept 29, 2014. Position in Uncertainty Quantification, Bayesian Identification,and Scientific Computing, Technical University of Braunschweig, Germany
The Institute of Scientific Computing at the Technische Universitaet Braunschweig (in Brunswick in Northern Germany) offers a research position in the area of Scientific Computing with a focus on Uncertainty Quantification, Stochastic Bayesian Identification and Inverse Problems, and Coupled Problems, beginning 1st January 2015. The position is associated with the project “Isogeometric and stochastic collocation methods for nonlinear, probabilistic multi-scale problems in continuum mechanics — development of non-conventional discretisation methods, and mechanical and mathematical analysis”, which is supported by the German Research Foundation (DFG).
The ideal candidate has a Doctoral degree in Mathematics, Engineering, Computer Science, the Physical Sciences, or a related subject, has acquired a strong experience in programming, and is characterised by a high motivation and the ability to work in a team but also independently.
Applications are solicited no later than 15 October 2014 to
Institute of Scientific Computing Tel. +49-531-391-3001 Technische Universitaet Braunschweig Fax +49-531-391-3003 Hans-Sommer-Str. 65 e-mail: firstname.lastname@example.org D-38106 Braunschweig, Germany http://www.wire.tu-bs.de
Department of Earth, Ocean, & Atmospheric Sciences University of British Columbia Research Associate - Computational Electromagnetics Position
The Department of Earth, Ocean, and Atmospheric Sciences (EOAS) at the University of British Columbia (UBC) invites applications for the position of Research Associate in Computational Electromagnetics. The appointments will be for one year initially and may be renewed for one additional year. The anticipated start date is 1 October 2014.
We seek an individual to join an existing team working on geophysical inverse problems. The successful applicant will: (1) develop finite volume/elements codes for electromagnetic induction. (2) experiment with different up-scaling techniques (3) develop parametric inversion techniques (4) aid in the general training of PhD students.
Candidates should have (1) PhD in computational science or a closely related field; (2) Minimum 3 years of experience in Computational Electromagnetics and its application to geophysics, and (3) Excellent organizational, interpersonal, and communication skills. Proven knowledge and experience programming in Julia, matlab and Fortran90 will be considered an asset.
UBC hires on the basis of merit and is committed to employment equity. All qualified persons are encouraged to apply. We especially welcome applications from members of visible minority groups, women, Aboriginal persons, persons with disabilities, persons of minority sexual orientations and gender identities, and others with the skills and knowledge to engage productively with diverse communities. Canadians and permanent residents of Canada will be given priority.
These positions are subject to final budgetary approval. Salary will be commensurate with qualifications and experience.
Applicants should submit a CV and the names and complete contact information (including phone and e-mail) of three references to: Dr. Eldad Haber, Department of Earth, Ocean and Atmospheric Sciences, The University of British Columbia, 2020-2207 Main Mall, Vancouver, BC, Canada, V6T 1Z4, email: email@example.com.
Subject: Postdoc Position, Hybrid Tomography, DTU
DTU Compute (www.compute.dtu.dk/english) invites applications for a post doc position starting January 1, 2015, in the section for Scientific Computing. The position is affiliated with the project â€œImproved Impedance Tomography using Hybrid dataâ€ (http://www2.compute.dtu.dk/~kiknu/HybridData/) funded by the Danish Research Council for Independent Research, see http://www.dtu.dk/english/career/job?id=384003b2-919d-45a8-90d9- 5368776e98cc.
Candidates must have a PhD degree in applied mathematics, or equivalent academic qualifications, and must have a strong background in applied mathematics and numerical computations.
Applications must be submitted ONLINE by September 30, 2014. Please open the link in the red bar in the top of the page: “apply online”.
More information can be obtained from Assoc. Prof. Kim Knudsen (firstname.lastname@example.org).
Sept 1, 2014. The Division for Data Assimilation at Deutscher Wetterdienst (Frankfurt/Offenbach) will soon advertise research positions on Data Assimilation for Numerical Weather Prediction (NWP), which are funded by the “Innovation in Applied Research and Development” IAFE programme of the German Government.
Further two positions on the assimilation of GPS/GNSS ZTD and STD data (four years) and one on Microwave imaging over land and ice (SAT-MW-Global-I, four years) are part of the package.
For further information please contact:
Roland Potthast, German Meteorological Service - Deutscher Wetterdienst Research and Development, Head Division FE 12 (Data Assimilation) Frankfurter Strasse 135, 63067 Offenbach, Germany Tel.: +49 69 8062 2713, Fax DWD: +49 69 8062 3721 Email.: Roland.Potthast@dwd.de Professor for Applied Mathematics University of Reading, Department of Mathematics, Whiteknights, PO Box 220, Reading RG6 6AX, United Kingdom Tel.: +49 (0)173 54 28 716 Email.: email@example.com Web: http://www.inverseproblems.info/potthast/
August 29, 2014. USRA is an independent, nonprofit research corporation where the combined efforts of in-house talent and university-based expertise merge to advance space science and technology. USRA works across disciplines including bio medicine, planetary science, astrophysics, and engineering and integrates those competencies into applications ranging from fundamental research to facility management and operations. USRA engages the creativity and authoritative expertise of the research community to develop and deliver sophisticated, forward-looking solutions to Federal agencies and other customers - on schedule and within budget.
USRA is seeking a Research Scientist for our GESTAR program at the NASA Goddard Space Flight Center in Greenbelt, MD. The position will focus on the development of techniques to estimate the impacts of wind observations in meteorological data assimilation systems. This will focus on the cost effectiveness of active and passive wind observation systems and their impacts on weather forecasts.
PhD in Earth Sciences or related field. Knowledge of data assimilation systems and/or wind measurement techniques.
This position is a 2 year appointment. All interested candidates must apply directly on our website at https://usracareers.silkroad.com/.
USRA is an Equal Opportunity Employer Minorities/Females/Protected Veterans/Disabled Job Location Greenbelt, Maryland, United States Position Type Full-Time/Regular
July 28, 2014. I would like to draw your attention to a NOAA vacancy announcement. CIRES is seeking a candidate for a Research Associate position at GSD to support its Developmental Testbed Center and other Numerical Weather Prediction related projects. For further details, see the announcement at: https://www.jobsatcu.com/postings/83341 .
Morrika Wolford Cherokee Nation Businesses Supporting: U.S. Department of Commerce National Oceanic and Atmospheric Administration (NOAA) Forecast Applications Branch (FAB), Office of the Chief 325 Broadway, R/GSD7, Room 2B147 Boulder, CO 80305 (303) 497-6629 - Phone (303) 497-7262 - Fax
July 13, 2014. CEE and WRRC at the University of Hawai`i in Manoa seek a Postdoctoral Scholar to work in the field of computational hydrology. The research will be focused on the estimation of evapotranspiration by assimilation of remotely sensed data into a four dimensional variational data assimilation system (4D-VAR). The successful candidate will be responsible for development of new 4D-VAR systems and scientific research. It is expected that the successful candidate will publish scientific articles and contribute to and/or write new funding proposals, etc.
Minimum Qualifications include: Ph.D. or equivalent in civil and environmental engineering or related field, and strong communication skills both verbal and written. Preferred candidates will have experience with MATLAB, strong mathematical and computational skills with background in engineering. Candidates should be motivated to drive new developments in data assimilation within numerical modeling.
The appointment will be reviewed annually and renewed based upon performance and funding. Salary is $50,000 annually, commensurate with qualifications and experience. Review of applications will begin immediately, and will proceed until the position is filled. Electronic applications containing 1) curriculum vitae; (2) one-page statement of research interests; (3) contact information for three references to firstname.lastname@example.org<mailto:email@example.com>. For more information, please contact Dr. Sayed Bateni (firstname.lastname@example.org<mailto:email@example.com>).
The University of Hawaii is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, age, veteran status, or disability. Applications from women, minorities, and persons with disabilities are encouraged.
June 25, 2014. Applications are invited for a two year postdoc position in one of the following areas:
About the research group and location:
The postdoctoral fellow will be based at CWI, the Netherlands Centre for Mathematics and Computer Science, located in Amsterdam, the Netherlands. The research will take place in the information-theoretic learning group headed by Prof. Peter Grunwald (program chair UAI 2010, COLT 2015) within the context of the VICI project 'safe statistics' funded by NWO, the Dutch Science Foundation. CWI is located within biking distance from Amsterdam's beautiful city center and from major train stations. It lies across the street from the University of Amsterdam, a major centre of machine learning research. Major European cities such as Paris (3h15 minutes by train) and London (50 minutes by plane) are all very easily accessible from Amsterdam.
About the position:
Candidates must have a strong background in statistical learning theory. Further, substantial knowledge of Bayesian inference, and/or information theory and/or on-line prediction is strongly desirable. Although the research done at our group involves a mix of theory and practice, candidates must have a capability to do theoretical research, as demonstrated by previously published mathematical/theoretically-oriented papers.
Applicants should email Peter Grunwald (firstname.lastname@example.org) with the subject â€œPostdoc Applicationâ€ and include a cover letter, a CV including publication list, and a list of at least two references with email and phone number.
- Deadline for application: July 10th (later applications are possible but we must receive an intention to apply before or on July 10th).
- Starting Date: September 1st (or within a few months from that)
For further inquiries, please send an email to email@example.com.
June 24, 2014. We have received NERC funding to run an Advanced Training Course on Data Assimilation and Visualization in Environmental Sciences. The course will take place at the University of Reading in the week 15-19 September. The course is aimed at PhD students and early career researchers (working within academic or non-academic settings). Up to 30 fully-funded places are available.
I would be grateful if you could bring this to the attention of anyone who may be interested. Further details and an application form are available at http://www.reading.ac.uk/maths-and-stats/news/DA_Course.aspx The closing date for applications is Monday 4 August.
Dr Amos S. Lawless Dept of Mathematics and Statistics, The University of Reading, Whiteknights, PO Box 220, Reading, Berkshire, RG6 6AX, United Kingdom. Tel: +44 (0)118 3785018 Fax: +44 (0)118 9313423 E-mail: A.S.Lawless@reading.ac.uk Web: http://www.personal.rdg.ac.uk/~sms00asl Twitter: @amoslawless
June 23, 2014. The goal of the project is to develop novel methods for the joint analysis of signals from electroencephalography (EEG) and functional magnetic resonance imaging (fMRI), when they are obtained concurrently. Technological advances of the last 10 years make it possible for scientists to record both modalities concurrently, in what is now known as coupled EEG-fMRI. By simultaneously recording these two modalities, scientists can potentially say where and when neural activity is occurring, whereas previously researchers had to settle for one or the other. This engineering feat, however, has not yet been met with the ability to make use of the combination of these signals to infer more knowledge than would otherwise be gathered in separate experiments. Filling this gap is the ambition of the present project.
This is a method project, which requires skills and knowledge in neuroscience, applied mathematics/statistics/physics and programming. Candidates who have a strong background in at least two of these three fields are encouraged to apply, if they are enthusiastic about the third. Two full studentships are available, and we expect to appoint one candidate who is stronger in empirical work and a second who is stronger in analytics. Candidates are expected to have had some prior exposure to at least one of the two modalities, but will receive training in both.
The two students will be supervised by Dr. Etienne Roesch and receive support from Dr. Michael Lindner and Prof. Tom Johnstone, with R&D support from Brain Products, one of the world’s leading manufacturers of MRI-compatible EEG systems. The group led by Dr. Roesch fosters interdisciplinary thinking, and students will have the opportunity to engage in ongoing empirical and modelling work related to perception and action. The Centre for Integrative Neuroscience and Neurodynamics (CINN) is host to a research-dedicated 3T Siemens TRIO, with a full license for sequence development, and a full suite of MR-compatible systems. Additionally, the students will be granted access to the cluster of NVIDIA Tesla GPUs and other facilities at CINN, as well as at the Brain Embodiments Laboratory, in the School of Systems Engineering.
The University of Reading is ranked as one of the UK’s 20 most research-intensive universities and as one of the top 200 universities in the world (Times Higher Education 2013). Our campus was voted first in the Times Higher Education Student Experience survey and has a Green Flag Award. It is situated 25 minutes West of London. Reading University Students’ Union was voted the 6th best in the UK (National Student Survey 2012).
Essentials: Commitment to academic research and personal development; Ability to work collaboratively; Effective interpersonal and communication skills, including writing to a high standard, document preparation for technical notes and journal papers; Experience of work in interdisciplinary settings; Attention to details.
Desirables: Self-guided work in developing statistical designs and approaches in research; Creative approach to problem solving; Ability to work independently; Experience in giving presentations and conveying complex ideas clearly.
Eligibility: Applicants should hold a minimum of a UK Honours Degree at 2:1 level or equivalent in a relevant subject. Please note that due to restrictions on the funding this studentship is for UK/EU applicants only.
Funding Details: Studentship will cover Home/EU Fees, pay the Research Council minimum stipend (£13,863 in 2014/15) for up to 3 years and include funding for international conferences.
How to apply: To apply for this studentship please submit an application for a PhD in Cybernetics (full time) to the University – see http://www.reading.ac.uk/Study/apply/pg-applicationform.aspx . In the section ‘Research proposal’, please upload or copy-paste your covering letter. When prompted as part of your online application, you should provide details of the funding you are applying for, quoting the reference GS14-68.
Once you have submitted your application, you should receive an email to confirm receipt of your online application. Please forward this email, along with your covering letter and CV (as pdf), to Dr. Etienne B. Roesch, firstname.lastname@example.org, by the application deadline.
Application Deadline: Monday 14th July 2014 (interviews early August)
Further Enquiries: Please contact Dr. Etienne B. Roesch, email@example.com.
June 18, 2014. Please circulate to interested colleagues this job opening in assimilation of biological data into ocean models. The deadline is 30th June. Sorry for the inevitable cross-postings.
Best regards, Laurent Bertino
Laurent Bertino Mohn-Sverdrup Center / NERSC Thormoehlensgt. 47 N-5006 Bergen Mob: +47 93 45 62 15 Norway Fax: no fax http://msc.nersc.no http://topaz.nersc.no
June 9, 2014. At the University of Reading, UK, we're looking for an outstanding computer scientist to provide strategic leadership and build their own internationally excellent research programme in Data Science.
This is an exciting opportunity to make a significant contribution at a strategic level, to lead computer scientists with varied interests and develop collaborative research with colleagues from a range of disciplines. You will have:
Contact role: Head of School Contact name: Ben Cosh Contact phone: +44 (0)118 378 5208 Contact email: firstname.lastname@example.org
Alternative informal contact details Contact role: Head of ICT Research Group Contact name: Professor R Simon Sherratt Contact phone: +44 (0)118 378 8588 Contact email: email@example.com
Interviews are likely to be held on the 22 July 2014
June 6, 2014. This is an advance notice that we have a PDRA position available for up to 24 months (depending on spinal point) starting as soon as possible. The project is called FRANC - Forecasting Rainfall exploiting new data Assimilation techniques and Novel observations of Convection. http://www.met.reading.ac.uk/flooding/
It would suit someone who has some data assimilation and moist processes knowledge and has (or is keen to have) experience with the UM system. The aim is to explore new ways assimilating moisture in the Met Office high resolution system by allowing maximum information to be extracted from observations. The work focuses on the forecast error formulation. This is an area that has huge interest and is an opportunity to make some real impact in data assimilation science.
Please get in touch with us (or the project PI Sarah Dance) if you would like to know more. Best wishes, Ross & Stefano
High Resolution Atmospheric Assimilation Group (HRAA) NCEO, Dept. of Meteorology, Univ. of Reading, RG6 6BB Tel. (0118) 378 7843 Fax. (0118) 378 5576
June 6, 2014. The Banff International Research Station for Mathematical Innovation and Discovery (BIRS) is now accepting proposals for its 2016 program. BIRS will again be hosting a 48-week scientific program at its station in Banff. BIRS is also hoping to run an additional 20-25 workshops at its developing new station in Oaxaca, Mexico.
The mandate of BIRS is to provide an environment for creative interaction and the exchange of ideas, knowledge, and methods within the mathematical, statistical, and computing sciences, and with related disciplines and industrial sectors. Each week, the station hosts either a full workshop (42 people for 5 days) or two half-workshops (each with 21 people for 5 days). As usual, BIRS provides full accommodation, board, and research facilities at no cost to the invited participants, in a setting conducive to research and collaboration.
Full information, guidelines, and online forms are available at the BIRS website: http://www.birs.ca
The deadline for 5-day Workshop and Summer School proposals is Tuesday September 30, 2014.
In addition BIRS will operate its Research in Teams and Focused Research Groups programs, which allow smaller groups of researchers to get together for several weeks of uninterrupted work at the station. September 30, 2014 is also the preferred date to apply for these programs. However, proposals for projects involving Research in Teams or Focused Research Groups can be submitted at any time – subject to availability – they must be received at least 4 months before their requested start date.
Proposal submissions should be made using the online submission form. Please use: https://www.birs.ca/proposals
Nassif Ghoussoub, Scientific Director, The Banff International Research Station
May 16, 2014. FIVE POSTDOCTORAL POSITIONS funded by the Wallenberg Foundation are available at the Center for Medical Imaging and Visualization (CMIV) in Linkoping, Sweden. CMIV (https://www.liu.se/cmiv) is a multidisciplinary research center with a strong clinical focus, initiated by Linkoping University, the County Council of Ostergotland and Sectra AB. It is located in the University Hospital, within the clinical environment.
Suggested areas of research includes:
With a focus on the development of high-performance MR-methods for diagnosing and monitoring neurodegenerative diseases (such as MS), sleep disorders, etc.
DEADLINE FOR EXPRESSIONS OF INTEREST IS MAY 31, 2014.
IMPORTANT: Please see attached information for application procedure and additional information. Please specify as appropriate one or more areas of interest from the list above.
Peter Lundberg, PhD, Professor University of Linköping and University Hospital of Linköping Radiation Physics and CMIV
Postal address: Peter Lundberg Radiation Physics University Hospital of Linköping S-581 85 Linköping, Sweden
Mail firstname.lastname@example.org Ph +46-(0)10 - 103 2790 On MR-Education http://edunmrsoft.wordpress.com/
May 13, 2014. The workgroup Inverse Problems at the Department of Mathematics of the University of Bremen invites applications for two PhD positions in the field of inverse scattering problems (wissenschaftliche Mitarbeiter(in), 75% TV-L 13, three year contract). The positions will be linked to the project 'Regularization methods in Banach spaces and applications to inverse scattering problems' with a focus on the development and numerical implementation of modern regularization methods for scattering problems in the context of sparse inhomogeneous media. Each position will have a teaching load of one tutorial session every second semester.
The intended starting date of the contracts is 1st August 2014 or later. The positions require a degree in mathematics, applied mathematics or a related field and experience in dealing with non-linear inverse problems as well as programming. German skills are not strictly necessary. The contracts might be extended depending on progress and the availability of new funding.
In case of questions, do not hesitate to contact Armin Lechleiter (email@example.com). Interested persons are invited to submit an application dossier consisting of a motivation letter, a curriculum vitae with full contact information, copies of diplomas and their PhD thesis to the group's assistant Ebba Feldmann (firstname.lastname@example.org).
The official announcement of the two positions (in German) can be found on the website of the University of Bremen:
May 6, 2014. A postdoctoral position (stipend-based) in the area “Neuroimaging in Social Cognition” is available immediately at the Berlin School of Mind and Brain in our group „Social Cognition“. Our research focus: Empathy, mindreading, emotion, decision making in social contexts in neurotypical individuals and those with psychiatric disorders involving social dysfuction such as autism and personality disorders. We use tools such as functional and structural magnetic resonance imaging, eyetracking, and psychophysiological measures to investigate brain-behavior-interactions. The successful candidate will have strong quantitative skills and be knowledgeable about social cognitive neuroscience in functional imaging and preferably also in eyetracking and psychophysics. The position will be available for three years with potential for extention based on conditions and performance. Research and training at the Berlin School of Mind and Brain focuses on the interface between the humanities and the neurosciences. The school is situated in lively part of central Berlin. More information about the school and its research environment can be found on the website (www.mind-and-brain.de). To apply, please reply to this email (email@example.com) with your cover letter and CV and up to 5 reprints.
Requirements: a PhD./doctorate in e.g. psychology, medicine, cognitive (neuro-)science, neurobiology (or any other relevant field) solid background in statistics, experience with one neuroimaging method, psychophysics, or eyetracking Expertise in Matlab or equivalent programming languages Evidence of published peer-reviewed research excellent skills in written and spoken English, strong motivation
Terms and conditions for this position Position is to start as soon as possible, Position is available for 3 years from individual starting date with potential for extension Position is stipend-based, stipend amounts is age-dependent and come to (average) 1,550 euros per month (plus 400 Euro for the first child and 100 Euro for each further child younger than 12 years of age)
April 30, 2014. Applications are invited for a Postdoctoral Research Associate to work on the project 'The inverse source problem arising in Photoacoustic Tomography'. The project lies in the intersection of inverse problems and control theory for hyperbolic partial differential equations.
The post is available from 1 September 2014 (or according to agreement), and is funded by the EPSRC and UCL for 2 years.
Application deadline 1 June 2014
Informal enquiries may be addressed to Lauri Oksanen, PI firstname.lastname@example.org
April 22, 2014. Postdoctoral fellowships are available associated with the Prediction Control and Data Analysis group at ERATO SATO Live Bio-Forecasting project (Advanced Telecommunications Research Institute International ( ATR) in Kyoto, Japan). This project is funded by Japan Science and Technology Agency (JST). We currently have challenging opportunities for scientists in fields of statistics, machine learning, computer science and other mathematical science. The project aims to develop innovative technologies of data science for real-time and live forecasting of complex and stochastic dynamic processes in life science.
Project: JST-ERATO SATO Live Bio-Forecasting project Director: Thomas N. Sato, Advanced Telecommunications Research Institute International (ATR) Period: up to March 31th, 2019 http://www.jst.go.jp/erato/en/research_areas/ongoing/sly_P.html
Aim of Prediction Control and Data Analysis group: With real-time data obtained from molecular/cellular imaging or omics- measurements, we aim to predict and control spatiotemporal dynamics of complex biological processes. Bayesian statistics and Data Assimilation (DA) form the methodological foundation of this project. The concept of DA originated in meteorology and oceanography, and nowadays its techniques are employed increasingly in many areas; weather forecasting and climate prediction as the most typical examples, hydrology, biology and many other fields. The method provides solutions for several types of the inverse problem; estimation of unknown parameters or initial fields in a model, and reconstruction of internal states of a complex dynamic system with partially observed data. The theoretical basis of DA is formed by Bayesian statistics. Many existing techniques of DA can be viewed from the Bayesian perspective. This unified view leads to further algorithmic developments and an idea to create new applications. This group creates innovative technologies of bioimaging informatics, omics- data analysis, mathematical modeling, simulation and parallel computation, and then demonstrates the proof-of-concept of the Live Bio- Forecasting based on Bayesian and DA methods. We also aim to identify problems from a unique perspective of data science, and pioneer new strategic applications of Bayesian statistics and DA in broad fields of life science.
Statistics Machine learning Computer science Physics Simulation science Image processing Systems biology Mathematical biology Bioinformatics
Advanced Telecommunications Research Institute International (ATR) 2-2-2 Hikaridai Seika-cho, Soraku-gun, Kyoto-fu 619-0288, Japan http://www.atr.jp/index_e.html
Position available: 1 position for Postdoctoral Researcher
Working conditions and contract period: Full-time (Nontenured) Fixed term employee. The initial contract is for 1 fiscal year, but can be renewed for a second fiscal year (until March 31, 2019) depending on the progress of the research and a performance evaluation. Salary will be competitive in accordance with ATR's bylaws, with consideration of the academic qualifications and demonstrated research skills of the candidate.
May 31, 2014. *The application may close sooner as soon as the position is filled
Application procedure: In the application, please include a cover letter, curriculum vitae ( including a list of publications), a statement of research interests ( two-pages), and names and contact addresses (email addresses) of two references. Submitted documents will not be returned to the applicant, and managed safely according to strict rules. Personal information received during the recruiting process will be used only for recruitment screening and appointment procedures, and not for any other purposes.
Selection method: Candidates will be selected based on submitted application material and an interview. A transportation fee is payable to candidates from abroad.
(1)Curriculum vitae (2)List of publications (3)Statement of research interests (two-pages) (4)Names and contact addresses (email) of two references
Ryo Yoshida The Institute of Statistical Mathematics, Research Organization of
Information and Systems
10-3 Midori-cho, Tachikawa, Tokyo 190-6552 Japan TEL: +81-50-5533-8534 http://daweb.ism.ac.jp/yoshidalab/ E-mail: email@example.com Please send applications by email.
April 21, 2014. Starting June 2014 there will be a DA research efforts at CMCC (Euro-Mediterranean Center on Climate Change) to attract recent PhD graduates with interest in data assimilation methodology and applications. The research is conducted in support of next generation DA system for regional ocean forecasting. The position announcement can be found at the following link
April 10, 2014. Numerical ocean models have contributed significantly to improve our understanding of the dynamics of the ocean. However such models are only approximations, and observations are needed to reduce the uncertainty of these models. Data assimilation allows to combine model results and observations in a statistically optimal way.
The GHER participates in European and Belgian projects aiming to apply data assimilation techniques to complex coupled models and assimilation of new data types (such as surface currents measurements). The GHER develops also advanced data analysis approaches for satellite and in situ data.
In the frame of these projects, a postdoctoral position is opened. The tentative start date of the contract will be the 1st May 2014. The position requires a degree in civil engineering, physics, applied mathematics or related field. The applicant is expected to have some experience with ocean models (such as ROMS), statistics or data processing. She/he should also have experience in programming (using languages such as Fortran, Matlab/Octave, C/C++ or Python). Good English skills (oral and written) are also required. The salary of this full time position will depend on the qualifications of the candidate. The contract will cover a period of one year. The contract might be extended depending on progress and the availability of new funding.
Interested persons are invited to submit an application dossier consisting of a motivation letter, a curriculum vitae with full contact information, copies of diplomas and their PhD thesis to our secretary C. Peelen (firstname.lastname@example.org). The review of applications is open and will continue until the position is filled. – Charlotte Peelen [email@example.com]
March 31, 2014. Some scholarships are available for selected participants in limited seats. Warmly regards, On behalf of CIMPA-Indonesia 2014 School organizers, Agah D. Garnadi
CALL FOR APPLICATIONS CIMPA-Indonesia School 2014 Mathematical and Statistical Tools in Mathematical Imaging 25 August-5 September 2014 Bandung, INDONESIA
Deadline for Applications: 1 June 2014
For informations, please refer to: http://cimpaimagingschool2014.fmipa.itb.ac.id/
[Please mentions it that you are DAAD alumna/stipendiat.]
March 31. The Faculty of Mathematics at the University of Duisburg-Essen is inviting applications for the position of a postdoctoral research associate (wissenschaftliche® Mitarbeiter(in), TV-L 13, two year contract) in the research group on inverse problems. The specific research topic will be adjusted to the applicant's interests and skills but should be within the area of analysis and numerics of parameter identification problems, mathematical (variational) imaging or optimization with partial differential equations. With a total of twelve research groups in analysis, optimization and numerical mathematics within the faculty, this position offers a unique opportunity for joint research.
The successful candidate will have a PhD in mathematics, solid knowledge of functional analysis and nonlinear optimization and experience in the numerical realization of algorithms and their application to concrete problems. Since the position includes teaching duties (4 hours/week during the semester), the ability to teach in German is required. Interest in interdisciplinary collaboration is expected.
Applications including a CV and copies of relevant certificates should be sent to
Christian Clason Universität Duisburg-Essen Fakulty of Mathematics 45117 Essen
or via email to
The deadline is
April 18, 2014
As an equal opportunity and affirmative action employer, the university explicitly encourages applications from women, people with disabilities, as well as from all others who would bring additional diversity dimensions to the university’s research and teaching strategies. Preference will be given within the framework of legal possibilities to such candidates with essentially the same qualifications.
For more details, please see the official announcement of the university at http://goo.gl/DmuA7a (PDF, in German). Information about the research group and the faculty can be found at https://www.uni-due.de/mathematik/agclason.
March 26, 2014. The UCLA Neuroimaging Training Program Summer Course is designed for advanced users, from graduate students to tenured faculty, who have significant experience in research using functional imaging, especially functional MRI. This year's program, which will be held from 2014 July 21 through 2014 August 1, will cover a broad range of topics including data acquisition, experimental design, fMRI data processing, anatomical imaging, machine learning and others. The draft course schedule<http://www.brainmapping.org/NITP/Summer2014.php> is available now.
Each year, the emphasis of the course differs. For the 2014 program we will be paying special attention to ways in which cutting-edge applications of functional MRI, and its related methods, can help answer big questions in neuroscience. Our goal in so doing is to help gain perspective on fMRI's role.
As always, we will include extraordinary international faculty, who will present didactics in slides and talks, and who will interact one撲n撲ne with the course attendees. Attendees will design, run and analyze experimental studies directed at unresolved questions in neuroimaging, using the extraordinary research facilities available to the UCLA NeuroImaging Training Program.
Admission is highly competitive. Successful applicants show that they have experience in neuroimaging using MRI and have above average productivity in terms of publications and presentations for their current academic rank and training (i.e., we anticipate that tenured faculty have published more than post謀ocs). In the past, most of the attendees have published one or more papers in the field, though this is not a requirement.
The generous sponsorship that we receive from the United States Narional Institutes of Health allows us to offer the two week program tuition free. The course also will cover lodging in UCLA on-campus housing. Food and transportation costs are the responsibility of the attendees. We are not able to offer any additional support grants. This course is open to applicants worldwide.
Please apply using the ONLINE SUMMER COURSE APPLICATION FORM<http://www.brainmapping.org/NITP/NITPSummer2014Apply.php>. Applications close on April 15; all files must be complete at that time.
The UCLA Neuroimaging Training Program is funded by generous awards from the National Institutes of Health<http://www.nih.gov/>, grant numbers R90 DA022768 and T90 DA023422
March 6, 2014. Dear Colleagues, Could you please send an email to colleagues about a new post - a lectureship in data assimilation - that we have created at Surrey? The job advert can be found here:
Professor Ian Roulstone
Department of Mathematics
Faculty of Engineering and Physical Sciences
University of Surrey
Tel: (0)1483 689638
March 3, 2013. EUMETSAT is now inviting applications from suitably qualified scientists from its Member States and Cooperating States for a Research Fellowship. POST: Research Fellowship (Investigating the Assimilation of Geostationary Water Vapour Radiance Data to extract Wind Information with an Ensemble Kalman Filter)
LOCATION: Deutscher Wetterdienst (DWD), Frankfurter Str. 135 63067 Offenbach Germany
DURATION: The fellowship is offered for one year, with the possibility of extension for up to two additional years.
The Research Fellow will join the Data Assimilation Group in the Numerical Weather Prediction (NWP) Department at the German Weather Service (DWD). He/she will work alongside DWD scientists, taking an active part in the research and development of the new ensemble-based data assimilation system to be employed for the global and regional high resolution forecasts.
The work will focus on the assimilation of water vapour radiance information from geostationary satellites. The main aim is to evaluate the ability of the ensemble data assimilation to extract wind information from the movement of water vapour structures observed in time sequences of geostationary satellite observations. Whilst the main work will be done in the context of the global data assimilation system, using a combined variational and ensemble-based approach (VarEnKF), results and experiments may be extended to the high-resolution ensemble-based assimilation system (LETKF in KENDA) towards the end of the position period.
For more information see: PDF Vacancy Note
Jan 7, 2014. Applications are invited for a Postdoctoral Position at University of Göttingen funded by the German Science Foundation (DFG) within the Collaborative Research Center CRC 755 'Nanoscale Photonic Imaging'. The position in the group of Thorsten Hohage is initially available from February 1, 2014 until June 30, 2015 with the possibility of extension.
The project is concerned with Inverse Problems with Poisson Data. Photonic imaging consists in reconstructing an unknown object from measured photons which have interacted with the object of interest by solving an inverse problem. For fundamental physical reasons the positions of measured photons are described by a Poisson process. The project aims at the systematic development of regularization theory for inverse problems with Poisson data and the design of efficient algorithms. An interest in collaboration with other projects of the CRC 755 is expected.
For further details, see http://www.uni-goettingen.de/en/86243.html.
Jan 7, 2014. Applications are invited for a postdoctoral Research Associate in Scientific Computing/Numerical Modelling to work with Prof S. Arridge (UCL Centre for Medical Image Computing) and Dr T. Betcke (UCL Mathematics) to develop numerical methods for forward and inverse problems in medical imaging based on acoustic, optical and electromagnetic radiation.
The Research Associate will contribute to the development of forward and inverse solvers and their numerical implementation for large-scale problems. A strong background in mathematics, scientific computing or related areas is required. In particular, candidates should have experience with finite and or boundary element methods and inverse problems. Software development experience in C++ is essential.
This is part of a large interdisciplinary group, based in the UCL Centre for Inverse Problems, researching novel methods for imaging and clinical treatment including EEG/MEG, Electrical Impedance Tomography (EIT), Optical and PhotoAcoustic tomography (DOT/PAT), and High Intensity Focussed Ultrasound (HIFU).
The post is funded until 30 September 2015 in the first instance.
Informal enquiries may be addressed to Professor Simon Arridge, tel: +44(0)20 7679 3714, email: S.Arridge@cs.ucl.ac.uk or Dr Timo Betcke, tel: +44 (0)20 3108 4068, email: firstname.lastname@example.org.
Further details can be found at https://atsv7.wcn.co.uk/search_engine/jobs.cgi?owner=5041178&ownertype=fair&jcode=1388936
The application deadline is 27 Jan 2014.
Jan 7, 2014. A postdoctoral position is open at CERFACS in the Parallel Algorithms Team. The duration of the contract is 2 years. We are interested in candidates with research experience in numerical analysis, applied probability, and/or uncertainty quantification. The duties will involve performing fundamental research in partnership with CERFACS industrial shareholders (TOTAL, EDF, CNES, EADS, Meteo France, ONERA, SAFRAN). Amongst other topics, the project involves probabilistic error analyses for large-scale numerical problems, with applications to optimization and the solution of inverse problems. Excellent communication skills in written and spoken English are necessary.
To apply, please send a cover letter, CV, research statement, and the names of two referees to David Titley-Peloquin (email@example.com). Informal queries may be addressed to David Titley-Peloquin and Serge Gratton (firstname.lastname@example.org).
The search will start immediately and continue until the position is filled.
Jan 7, 2013. QUESO stands for Quantification of Uncertainty in Estimation, Simulation and Optimisation.
QUESO is a collection of algorithms and other functionalities aimed at solving statistical inverse problems, solving statistical forward problems, validating models, and for the prediction of quantities of interest from such models along with the quantification of their uncertainties.
QUESO is designed for flexibility, portability, ease of use and ease of extension. Its software design follows an object-oriented approach and is written in C++. QUESO uses MPI for communication. It can run in uniprocessor or multiprocessor environments.
QUESO v0.50.0 was released recently and is free (libre and speech). It can be downloaded from GitHub: https://github.com/libqueso/queso
Jan 6, 2014. Three Young Scientist Travel Awards for reimbursement of travel expenses up to 500 Euros will be available to students and early career scientists. Selection criteria are the interest of a submitted abstract for a poster presentation, candidate profile and references letter. Interested candidates should send an e-mail to email@example.com including an abstract, a curriculum vitae and a letter of recommendation by their supervisor in one single pdf-file before 15 January 2014.
Jan 6, 2014. Dear colleagues, the German Science Foundation (DFG) newly installed a distributed Research Unit on “Data Assimilation for Improved Characterization of Fluxes Across Compartmental Interfaces”. This initiative sets out to design and install a data assimilation framework for catchment scale terrestrial systems encompassing all compartments from the groundwater to the atmosphere including soil, vegetation, and river networks.
It offers 8 Postdoc and one PhD scholarship positions for initially 3 years starting at April 1, 2014. For more details we kindly refer to the job announcement at http://www2.meteo.uni-bonn.de/for2131/lib/exe/fetch.php?media=ausschreibung_20131105_final.pdf See also http://www2.meteo.uni-bonn.de/for2131/doku.php
With best regards, Felix Ament
Jan 6, 2014. The Working groups of the COST Action ES1303 “Towards operational ground based profiling with ceilometers, doppler lidars and microwave radiometers for improving weather forecasts” have been set up and a webpage has been created.
19 countries signed up for the action and their representatives on the Management Committee. The following working groups and chairs were set up at the kick-off meeting:
WG 1: Ceilometers Chair: Martial Haeffelin (F) WG 2: Doppler lidars Chair: Ewan O'Connor (FI and UK) WG 3: Microwave radiometers Co-Chairs: Ulrich Loehnert (DE) and Nico Cimini (IT) WG 4: Data assimilation Chair: Roland Potthast (DE)
Jan 6, 2014. Dear colleagues, We have an open position in remote sensing and radiation measurements at Payerne. Please feel free to distribute this email to interested persons.
Happy New Year 2014 to all of you!
Best regards, Dominique
Dr. Dominique Ruffieux Head of Atmospheric Data Division MeteoSwiss +41 26 662 6247 www.meteoswiss.admin.ch
Jan 4, 2014. The Centre for Intelligent Sensing is a focal point for research in Intelligent Sensing at Queen Mary University of London. The Centre focuses on breakthrough innovations in computational intelligence that are expected to have a major impact in transforming human and machine utilisation of multiple sensor inputs for interpretation and decision making.
The Centre facilitates sharing of resources, exchange of ideas and results among researchers in the areas of theory and application of signal acquisition, processing, communication, abstraction, control and visualisation.
The expertise in the Centre includes camera and sensor networks, image and signal processing, computer vision, pattern recognition and learning, coding, 3D imaging, reconstruction and rendering, 3D graphics, bio-inspired computing, human-computer interaction, face and gesture recognition, affective computing and social signal processing, and data mining.
Dec 20, 2013. Dear Colleagues, there is an open research position on ocean data assimilation at CMCC (http://www.cmcc.it) in Bologna, Italy.
The full call, along with the rules to apply, can be found here:
Please circulate the call to anyone interested,
Best regards, Andrea Storto
Andrea Storto, Ph.D. Dept. of Numerical Applications and Scenarios (ANS) Euro-Mediterranean Centre for Climate Change (CMCC) - www.cmcc.it viale Aldo Moro, 44, 7th Floor - 40127 BOLOGNA - Italy Phone: +39 (0)51 3782605 (int. 205) Mobile: +39 339 8176646 Fax: +39 (0)51 3782655 Email: firstname.lastname@example.org
Jan 1, 2014. The Royal Meteorological Society has a Special Interest Group on Data Assimilation, headed by a small committee. The current committee members are Mike Fisher (ECMWF), Keith Haines (Reading, oceans), Bruce Ingleby (Met Office, ECMWF shortly), Peter Jan van Leeuwen (Reading), and Matt Martin (Met Office, oceans). Our main activity is to organise 2-3 data-assimilation meetings a year, see Group Web.
Dec 22, 2013. Postdoctoral opportunities in Mathematics and Neuroscience at the University of S.Paulo
The recently established Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat), hosted by the University of S. Paulo, Brazil, and funded by FAPESP (S.Paulo Research Foundation) is offering several postdoctoral fellowships for recent PhDs with outstanding research potential.
Candidates are sought that fit one of the profiles below (or a combination):
-A strong background in probability theory with emphasis on
stochastic processes or alternatively in statistics with emphasis on statistical model selection. Previous knowledge of rigorous statistical mechanics, random graphs or stochastic modeling in biosciences will be favorably considered.
-A solid background in systems neuroscience, programming
skills, experience of imaging and/or EEG acquisition and analysis and strong interest in interdisciplinary research.
The initial appointments are for two years, with a possible extension to up to four years conditional on research progress. Salary is competitive at international level and fellows benefit from extra funds for travel and research expenses, plus limited support for relocation. Application instructions are found at http://neuromat.numec.prp.usp.br/postdoc.
Dec 22, 2013. Computational Scientist / scientific programmer position in Data Assimilation and Earth System Modelling at the Laboratoire des Sciences du Climat et de l’Environment (LSCE): Description of responsibilities 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 (email@example.com<mailto:firstname.lastname@example.org>) and Natasha MacBean (email@example.com<mailto:firstname.lastname@example.org>). The position is available from 1st January. Evaluation of applications will continue until a suitable candidate has been found.
Dec 22, 2013. Please find attached for information a summary of details relating to the *Felix Scholarship competition* in 2014 (for entry in 2014-15); the competition is open to candidates from _India or other developing countries_ (further details attached) for either postgraduate research degrees or taught Masters__who meet the criteria set out by the Felix Trustees. It has now been confirmed that Reading will have a total of 6 Felix Scholarships to allocate in this year.
The internal timeline for the competition is included in the summary document. As this indicates, any applications that have been received by the closing date will be sent to Schools for ranking. Further guidance will be issued at that time.
Details and the relevant forms for applicants are on the University website at http://www.reading.ac.uk/gs-felix.aspx. The deadline for students to submit applications for this studentship is 31st January 2014. Many thanks, Chris
Chris Robson Head of Postgraduate Research Support and Development University of Reading 0118 378 *6169*
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 http://math.mit.edu/icg/openings/
Dec 18, 2013. Climate-KIC UK is one of 5 co-location centres in the UK. Along with Imperial College, the University of Reading is one of the academic partners of Climate-KIC UK which gives academics here the opportunity to propose PhD studentship projects for full or partially funded places. We also have other opportunities for involvement including Innovation & Pathfinder projects, Masters programmes, start-up incubation for innovative business ideas. This is an opportunity to see what we can offer and how we can work together.
Kathy Maskell Communications Manager Walker Institute for Climate System Research, University of Reading +44(0)118 378 7380 Room 1L25, Agriculture Building, Earley Gate, University of Reading, RG6 6AR For Sat Nav directions please use RG6 7BE
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:
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
Dec 5, 2013. Russell J. Hewett and Laurent Demanet of the Imaging and Computing Group at MIT are pleased to announce the first public release of PySIT: a Seismic Imaging Toolbox for Python. PySIT is available at http://www.pysit.org.
PySIT is a research and pedagogical package for optimization-based seismic imaging, in the framework of full waveform inversion (FWI), built using the standard tools of scientific Python.
PySIT is designed to be a common platform from which the community can rapidly prototype and reproducibly benchmark new techniques against well-known methods from the literature. The package also contains a quick-start guide for newcomers to imaging and wave equations. A suite of gallery problems is provided, including access to community models such as the Marmousi and BP velocity models.
PySIT is freely available under a BSD license, and development will continue under an open model. Community contributions are welcome. Code documentation and cross-platform installation instructions are available on the project's web page.
The PySIT team is grateful for support from Total SA, the ERL consortium at MIT, AFOSR, ONR, and NSF.
Please feel free to contact us on the Google Groups forum for the project, https://groups.google.com/forum/#!forum/pysit, with any questions.