Are you a highly motivated student interested in doing research in Operations Research and Learning? Then you can now apply for the following Ph.D. position at the Eindhoven University of Technology, the Netherlands.
Location: EindhovenFTE: 1Fully funded
The project
For control or scheduling problems with large instances, there is typically an obstacle that relates to the curse of dimensionality. Asymptotic analysis or intuitive heuristics can sometimes help to reach a reasonable solution, but often enough, these types of problems are too complex to be solved with traditional (probabilistic) techniques alone. The world of data analytics offers various promising techniques to deal with this issue. In this project, the PhD candidate will combine traditional techniques from applied probability and optimization with data analytical tools to come to meaningful dynamic control policies for problems that arise in (large-scale) stochastic systems/networks.
Job requirements
Applicants are required to have an MSc degree in mathematics or a related field, with a strong background in probability theory, operations research, and (stochastic) optimization. Proficiency in English is also required, and research experience will be highly valued. All applicants should include a cover letter, curriculum vitae, course list, and the contact information of two references.
Procedure and more information
You may find more information on the conditions of employment, the university, and the application procedure through this link: PhD Operations Research and Learning Techniques
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PhD Operations Research and Learning Techniques |
The project For control or scheduling problems with large instances, there is typically an obstacle that relates to the curse of dimensionality. Asymptotic analysis or intuitive heuristics can sometimes help to reach a reasonable solution, but often enough, these types of problems are too c |
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Maria Vlasiou
Professor
Eindhoven University of Technology
Eindhoven
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