PhD Position in Reinforcement Learning Theory, Delft University of Technology, Netherlands

Postdoctoral Position - 2019 in Netherlands, Delft University of Technology
PhD Position in Reinforcement Learning Theory: Delft University of Technology is offering a PhD position focused on theoretical reinforcement learning, aiming to advance the understanding and development of new learning algorithms. The project emphasizes the analysis and design of learning algorithms with formal performance guarantees.

Designation

PhD Candidate in Reinforcement Learning Theory

DetailInformation
Research AreaTheoretical Machine Learning, Sequential Decision-Making
LocationDelft University of Technology, Delft, Netherlands
Eligibility/QualificationMaster’s degree in Mathematics, Computer Science, Physics, or a related field. Good mathematical background; familiarity with statistics and optimization is required. Knowledge in machine learning is a plus.
Application DeadlineDecember 8, 2024

Description

The selected candidate will join the Sequential Decision-Making group and focus on challenges in reinforcement learning and function approximation methods. This role will allow you to delve deep into reinforcement learning theory while exploring mathematics to develop robust learning techniques.

Candidates should be motivated to tackle complex mathematical problems and should be fluent in written and spoken English.

Salary and Employment Conditions

  • Duration: 4-year position, divided into two contracts (1.5 years and 2.5 years after assessment)
  • Salary: Starts at €2872 per month in the first year, increasing to €3670 in the fourth year
  • Benefits: Flexibility, health insurance discounts, and a work costs contribution

How to Apply

Interested candidates should apply online by uploading the following documents:

  • Curriculum Vitae (CV)
  • Motivational letter addressed to Ms. I.M. Olkhovskaia

Note:

  • Applications sent by email or post will not be processed.
  • A pre-employment screening may be part of the selection process.

Last Date for Apply

December 8, 2024

This opportunity represents a chance to contribute to cutting-edge research in reinforcement learning at a prestigious university in a vibrant, international environment.

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