Tuesday, June 14, 2011

Research Positions in high-performance computing in energy systems at Princeton University

Warren Powell at Princeton University is looking to fill several positions in the broad area of models and algorithms for energy systems analysis in the PENSA laboratory at Princeton University.  He is especially interested in identifying someone with strong skills and interests in high-performance computing to do research in large scale models on supercomputers.

Candidates should have a Ph.D. in operations research, computer science, applied mathematics, or physics, or a Ph.D. in a related engineering field (e.g. electrical engineering) with strong research interests in optimization models and algorithms, and their implementation in high performance computing environments.  The positions are available now, and he is hoping to fill them before the end of the calendar year.  Experience with supercomputers is valued, but not necessary.  However, he is looking for people with a research track record and enthusiasm for computational research.  Their work is primarily in the area of stochastic optimization, and while skills in stochastic optimization are useful, they are not a prerequisite for the position.

The successful candidate(s) will join a growing laboratory of faculty and professional research staff, as well as graduate and undergraduate students, in the Department of Operations Research and Financial Engineering at Princeton University.  PENSA (see http://energysystems.princeton.edu) specializes in the development of models and algorithms for a wide range of stochastic optimization problems arising in energy systems.

Interested candidates should email Warren Powell <powell@princeton.edu> with a c.v. (you are welcome to attach research articles).  After reviewing the application material, he will contact selected candidates with additional information for applying on the university website.  Please forward this email to people who may be interested.

Warren Powell
Professor and director of PENSA
Department of Operations Research and Financial Engineering
Princeton University
http://energysystems.princeton.edu

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