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The following jobs have been advertised to the SIAG/LA mailing list at the request of SIAG/LA members. If no closing date is included in the request, the default is two months after the original posting. If you are a job-seeker, you may also be interested in the SIAM Job Board or NA Digest. SIAG-LA members may submit job ads via a web form.

Postdoc Positions in Computational Electromagnetics

Posted to SIAG/LA: February 6, 2018.

The high powered electromagnetics effects branch, part of the United States Air Force Research Lab at Kirtland AFB located in Albuquerque, New Mexico, has advertised three postdoc opportunities for talented and knowledgeable individuals through the National Research Council (NRC) Research Associateship Program.

RO#: 13.10.03.C0029
Advanced computational plasma physics modeling for next generation technologies
Adviser: Dr.Michael White (Michael.White.113@us.af.mil) http://nrc58.nas.edu/RAPLab10/Opportunity/Opportunity.aspx?LabCode=13&ROPCD=131003&RONum=C0029

RO#: 13.10.03.B6938
Algorithm Development for Electromagnetic Plasma Simulation
Adviser: Dr.Andrew Greenwood (andrew.greenwood@us.af.mil) http://nrc58.nas.edu/RAPLab10/Opportunity/Opportunity.aspx?LabCode=13&ROPCD=131003&RONum=B6938

RO#: 13.10.03.B6936
State-of-the-Art, Massively Parallel Computational Electromagnetics
Adviser: Dr.Andrew Greenwood (andrew.greenwood@us.af.mil) http://nrc58.nas.edu/RAPLab10/Opportunity/Opportunity.aspx?LabCode=13&ROPCD=131003&RONum=B6936

All three opportunities require expertise in at least two of the following areas: plasma physics (simulation), computational electromagnetics, applied mathematics (computational linear algebra), particle-in-cell methods, and parallel computing. The initial postdoc award will be for one year ($74,000 base stipend plus $3,500 travel money) and it can be extended by one more year (with a stipend increase) upon satisfactory progress. Student who will graduate before the award begins, postdoc researchers with recent degrees awarded, and senior researchers are all eligible to apply. Selected associates will receive an appropriately higher stipend based on the number of years of experience past their PhD.

It is expected that any interested applicant should first look at the NRC requirements to see if they are eligible and what supporting documents will be needed. Then Dr.Michael White or Dr.Andrew Greenwood should be contacted with an up-to-date CV and an outline of proposed research and methodology (no more than one page). The adviser will then work with the applicant into expanding the proposal which is then submitted as a part of the application. The NRC RAP accepts applications four times a year with the next window opening online on March 1, 2018 and closing on May 1, 2018. All applications require adviser-approved proposals. All other applications will be automatically rejected by the submission system. Therefore it is recommended that the advisers be contacted early-on.

All three opportunities require US citizenship.

US citizenship is mandatory for all three positions. In addition, the associate must clear a background check to be able to work on-base.

Further information is available at http://sites.nationalacademies.org/pga/rap/

http://nrc58.nas.edu/RAPLab10/Opportunity/Program.aspx?LabCode=13&ReturnURL=%2fRAPLab10%2fOpportunity%2fPrograms.aspx%3fLabCode%3d13

Givens Associate program at Argonne for PhD students

Posted to SIAG/LA: January 30, 2018.

The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory is developing innovative techniques in numerical computing and computational mathematics. The Givens Associate program is intended to encourage graduate students who are beginning careers in numerical analysis or computational mathematics. Candidates must be in an accredited Ph.D. program in applied mathematics, computer science, computational science, statistics, or a related field at a U.S. university (U.S. citizenship is not required).

Givens Associates will work actively with MCS scientists designing, analyzing, and implementing numerical and statistical algorithms. For further information about particular applied mathematics, numerical software, and statistics research areas in MCS, see http://www.mcs.anl.gov/group/applied-mathematics.

The deadline for all application materials is March 1, 2018. Please see complete details at http://www.anl.gov/education/graduates/givens-summer-associate-program.

The Geophysics Group (EES-17) in the Earth and Environmental Sciences (EES) Division at Los Alamos National Laboratory (LANL) has an immediate opening for a creative and resourceful postdoc candidate with strong machine learning and computational science skills. The successful candidate will develop novel computational techniques based on machine learning methods, and apply them to geophysical data set for subsurface characterization and monitoring. The term of the appointment is two years, with the option to extend to a third year depending on the performance and funding availability.

Please see more details and apply here:

https://lanl.jobs/los-alamos-nm/geophysics-and-computational-machine-learning-postdoc/0CC19A6DCC82445287BD081EBC2377F8/job/

In addition to applying on-line, please send a cover letter detailing qualifications and research interests, a curriculum vitae/resume, and names of three references to Youzuo Lin (ylin@lanl.gov).

The positions remain open until they are filled.

The research group of Nicolas Gillis at the University of Mons (Belgium) is seeking highly qualified candidates for one doctoral and one postdoctoral position funded by the ERC (European Research Council).

This project, entitled Constrained Low-Rank Matrix Approximations - Theoretical and Algorithmic Developments for Practitioners, focuses on the theory, algorithms and applications of low-dimensional representations of high-dimensional data based on low-rank matrix approximations; see https://sites.google.com/site/nicolasgillis/coloramap/overview for a description of the project and the objectives. The successful candidate will have the flexibility to choose a topic within the range of this project.

Your profile is a MSc/PhD in applied mathematics, mathematics, computer science, or a related discipline. You must have an expertise in at least one of these fields: optimization, computational complexity, numerical linear algebra, data mining and machine learning, hyperspectral imaging. You should have excellent programming skills in a numerical language (such as Matlab), and good communications skills, both written and oral, in English.

The positions remain open until they are filled. The starting date is flexible (ideally in September 2018).

Please see https://sites.google.com/site/nicolasgillis/coloramap/ for more details.

We would like to announce that an PD position in Japan is open for interdisciplinary research between information science (e.g. HPC, numerical analysis, data science) and computational material science on supercomputers. [1] The PD will join our team of ‘Development of fundamental parallel algorithms’ [2], a part of the national project of Japan for development of the next flagship (‘post-K’) supercomputer.

Starting date: April 1, 2018 (Later starting date is negotiable.) Deadline: The review process will start immediately and continue until the position filled. We may not guarantee the full consideration for the application materials sent after 16. Feb. 2018. Requirements: PhD degree. The researcher is expected to have considerable experiences in computational material science (e.g. electronic structure calculation, molecular dynamics simulation) or information science (e.g. HPC, numerical analysis, data science). Experience of the code development in Fortran and/or Python is welcomed (not required). Other details can be found in [1].

[1] http://www.damp.tottori-u.ac.jp/~hoshi/post-K-algo-PD.html
[2] http://www.damp.tottori-u.ac.jp/~hoshi/post-K-algo.html