open PhD positions at Max Planck

[Michael Muehlebach]

Dear colleagues,

We are looking for talented and motivated Ph.D. students that join our research group on Learning and Dynamical Systems (https://lds.is.tuebingen.mpg.de/) at the Max Planck Institute for Intelligent Systems. We have several Ph.D. positions available covering fundamental and/or practical aspects of machine learning in connection with cyber-physical systems. These include:

- Developing algorithms for large-scale constrained optimization
- Finding Nash equilibria in large-scale zero-sum games (training GANs)
- Developing a highly underactuated robotic testbed
- Developing a robotic testbed for studying if/how prior knowledge can improve learning
- Fundamental research in reinforcement learning
- Fundamental research in online learning/repeated decision-making

Successful applications have a Master's degree in computer science, mathematics, or engineering. Applicants should be fluent in written and oral English. Prior experience with machine learning, dynamical systems, or experience with real-world testbeds is a plus.

The positions, available immediately, are full-time appointments for four years. Further information can be found in the attached pdf.

When applying for a Ph.D. position, please include your CV, Bachelor's and Master's transcripts, a one-page letter of motivation describing your research interests and educational background, two reference letters, and two references that can be contacted. Incomplete applications will not be considered.

I would be grateful if you could share with qualified candidates.

Best wishes,

Michael

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Michael Muehlebach
Independent Research Group Leader
Max Planck Institute for Intelligent Systems
https://lds.is.tuebingen.mpg.de/