PhD positions in Stochastic Programming, Distributionally Robust Optimization, and Data-Driven Optim

Ph.D. Student Positions in Stochastic Programming, Distributionally Robust Optimization, and Data-Driven Optimization

Start date: Academic Year 2018-2019 (August 2018) – Application Deadline January 10th, 2018.

The Decision Sciences Department at the George Washington University has several openings for Ph.D. student positions (starting August 2018) to work in one of the following areas: stochastic programming, distributionally robust optimization, data-driven optimization with possible application in financial risk and engineering, military operations, and disaster management. Students with interests in these areas would work under the supervision of Professor Miguel Lejeune (http://www.milejeune.org/). See publications at: http://www.milejeune.org/res-publications-aio.html.  

Candidates are required to have a degree in Computer Science, Operations Research, Industrial Engineering, Mathematics, or a related field. Prior knowledge in optimization and probability, and the ability to code (C ,C++, AMPL, Matlab, etc.) are welcome. Good English oral and written communication skills are also important, as well as an enthusiasm for high-quality research.

More information about the doctoral program in the Decision Sciences Department is available at: http://business.gwu.edu/programs/doctoral-programs/decision-sciences/  

If you are interested in this position, you should email (mlejeune@gwu.edu) your CV and a letter of interest to Dr. Lejeune before applying for the position.

Miguel Lejeune

Full Professor, Decision Sciences

The George Washington University

2201 G Street NW, Funger Hall

EmaiL: mlejeune@gwu.edu

Web: http://www.milejeune.org/

Phone: +1-202-994-6576