Doctoral and Postdoctoral Researcher: Join the Research Training Group METEOR, a collaborative initiative between LMU Munich and TUM, focusing on bridging control theory and machine learning. This program aims to train a new generation of scientists equipped with the skills necessary to address modern challenges in artificial intelligence research.
Designation:
- Doctoral Researcher (DR) – Duration: 4 years
- Postdoctoral Researcher – Duration: 3 years
Research Area:
- Control Theory (CT)
- Machine Learning (ML)
- Complex Dynamical Systems
Location:
- Munich, Germany
Eligibility/Qualification:
- Doctoral Researcher: Master’s degree in relevant fields such as Computer Science, Engineering, or Mathematics.
- Postdoctoral Researcher: PhD in related disciplines with a focus on control theory or machine learning.
Job Description:
Candidates will engage in cutting-edge research in two main areas:
- Machine Learning for Control Theory (ML→CT): Development of data-driven design for robust and uncertainty-aware controllers in safety-critical dynamical systems.
- Control Theory for Machine Learning (CT→ML): Application of control theory principles to improve the robustness of machine learning algorithms against data quality issues and enhance algorithm design.
Research will center on four key themes:
- Modeling and Quantification of Uncertainty for Robust Control
- Representation for Dynamical Systems and Control
- Control Theory for Machine Learning Algorithm Design
- Formal Analysis of Machine Learning Algorithms via Control Theory
How to Apply:
Interested candidates must log in to the application portal to submit their applications. Those who have already started an application can access it under “My applications” after logging in.
For inquiries, please contact: applications.meteor@ifi.lmu.de
Last Date to Apply:
- November 13, 2025 (Portal closes at 23:59 CET)
- Starting Date: April 1, 2026
Apply now to embark on an exciting journey at the forefront of scientific discovery in AI!
