Position Summary: We are looking to fill several postdoctoral or more senior research positions in the broad area of computational stochastic optimization (broadly defined) under the supervision of Professor Warren Powell in the Department of Operations Research and Financial Engineering. Two positions will work in the area of energy systems focusing on the development of stochastic optimization models of problems arising in energy markets, control of energy generation and demand response, pricing, bidding and storage. We have special interest in high performance computing, and we will be looking to parallelize algorithms to exploit this architecture. A third position will work in the area of optimal learning in the context of materials science (see http://optimallearning.princeton.edu).
We are looking for people who can start the summer of 2013. Appointments are for one year with the possibility of renewal pending satisfactory performance and continued funding.
Applicants must apply online and submit a CV and cover letter with contact information for three references.
Essential Qualifications: A Ph.D. in operations research, computer science, applied math, electrical engineering or related field is required.
Applicants for all positions should have a strong background in probability and statistics/machine learning, demonstrated skills in writing journal quality papers, a high comfort level with computational research, and an ability to work as a member of a vibrant team in stochastic optimization (http://castlelab.princeton.edu) and energy systems (http://energysystems.princeton.edu).
Preferred Qualifications: Some background in chemistry and laboratory science is useful but not required.
Education Required: Doctorate Degree
Application Deadline: Open Until Filled or See Position Summary.