PhD Candidate in Algorithmic Game Theory and Optimization

6 dagen geleden


Maastricht, Limburg, Nederland Maastricht University Voltijd
Job Description

We are seeking a highly motivated and talented PhD candidate to join our research team in the Department of Advanced Computing Sciences at Maastricht University. The successful candidate will be responsible for developing state-of-the-art algorithms for stochastic Nash equilibrium problems, with a focus on distributionally robust Nash equilibrium problems and chance-constraints.

Key Responsibilities:

  • Perform scientific research in algorithmic game theory and its applications.
  • Develop and implement distributed optimization algorithms for stochastic Nash equilibrium problems.
  • Collaborate with the research team to design and validate algorithms for real-world applications.
  • Publish research results in top-tier conferences and journals.
  • Assist with educational tasks, such as supervising students and interns.

Requirements:

  • M.Sc. degree in (Applied) Mathematics, Econometrics, Operations Research, Computing Sciences, Artificial Intelligence, or closely related fields.
  • Demonstrated interest and experience in game theory and/or optimization.
  • Proficiency in English (oral and written).
  • Excellent communication skills.

What We Offer:

  • A competitive salary and benefits package.
  • The opportunity to work with a talented research team and contribute to cutting-edge research in game theory and optimization.
  • Access to state-of-the-art research facilities and resources.
  • The possibility to collaborate with industry partners and apply research results to real-world problems.

How to Apply:

Submit your application, including a cover letter, curriculum vitae, and contact information for two references, to b.franci@maastrichtuniversity.nl by September 29, 2024.



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