Postdoctoral Research Position in Operations Research at CMU
Forum 'Emplois' - Sujet créé le 2015-05-05
Applications are invited for a postdoctoral research position in Operations Research at Tepper School of Business, Carnegie Mellon University to start in Summer 2015. This will be a one-year appointment, with the possibility of a one-year extension.
The successful candidate will be working closely with Dr. Fatma Kılınç-Karzan on an on-going NSF-funded research project regarding low complexity relaxations for nonconvex optimization problems with conic structure. Such problems are frequently used in extracting useful information from high-dimensional data, and also are critical components of operational problems in many diverse fields facing uncertainty. This research aims to develop novel models and analysis to address key trade-offs on relaxation quality and computational tractability on a diverse set of problems. The final objective is then to facilitate the analysis and design of efficient and scalable algorithms for these problems.
Background:
The ideal candidate will be an enthusiastic and creative individual with a PhD in Operations Research, Mathematics, Machine Learning, Computer Science, Industrial Engineering or a related discipline completed by August 2015. A strong background in convex analysis and optimization and/or discrete optimization is required. Specialization on one or more of optimization under uncertainty, machine learning, and statistics will add strength to a qualified candidate's application. Expertise in one or more of optimization software and scientific computing languages Matlab, C/C++, Java, R and is desirable.
Application:
Interested candidates should send the following material to Dr. Fatma Kılınç-Karzan at mailto:fkilinc@andrew.cmu.edu:
• A cover letter outlining their experience and qualifications as they relate to this position
• CV that includes a list of publications
• a sample of at least two research papers,
• research statement describing research interests and goals, and
• the contact details (name, email, address) of three or more individuals willing to supply confidential reference letters.
Review of applications begins immediately and will continue until the position is filled.
The successful candidate will join the vibrant Operations Research group at Tepper School of Business, a pioneer institute in the field of management science and analytical-decision making. In addition, Carnegie Mellon University provides an excellent research environment across broad areas of research in operations research, algorithms, combinatorics and optimization, machine learning, computer science, signal proce
The successful candidate will be working closely with Dr. Fatma Kılınç-Karzan on an on-going NSF-funded research project regarding low complexity relaxations for nonconvex optimization problems with conic structure. Such problems are frequently used in extracting useful information from high-dimensional data, and also are critical components of operational problems in many diverse fields facing uncertainty. This research aims to develop novel models and analysis to address key trade-offs on relaxation quality and computational tractability on a diverse set of problems. The final objective is then to facilitate the analysis and design of efficient and scalable algorithms for these problems.
Background:
The ideal candidate will be an enthusiastic and creative individual with a PhD in Operations Research, Mathematics, Machine Learning, Computer Science, Industrial Engineering or a related discipline completed by August 2015. A strong background in convex analysis and optimization and/or discrete optimization is required. Specialization on one or more of optimization under uncertainty, machine learning, and statistics will add strength to a qualified candidate's application. Expertise in one or more of optimization software and scientific computing languages Matlab, C/C++, Java, R and is desirable.
Application:
Interested candidates should send the following material to Dr. Fatma Kılınç-Karzan at mailto:fkilinc@andrew.cmu.edu:
• A cover letter outlining their experience and qualifications as they relate to this position
• CV that includes a list of publications
• a sample of at least two research papers,
• research statement describing research interests and goals, and
• the contact details (name, email, address) of three or more individuals willing to supply confidential reference letters.
Review of applications begins immediately and will continue until the position is filled.
The successful candidate will join the vibrant Operations Research group at Tepper School of Business, a pioneer institute in the field of management science and analytical-decision making. In addition, Carnegie Mellon University provides an excellent research environment across broad areas of research in operations research, algorithms, combinatorics and optimization, machine learning, computer science, signal proce