Postdoctoral Researcher in Machine Learning | Postdoctoral Researcher in machine learning (m/f/d, E13 TV-L, 100%)
Eberhard Karls Universität Tübingen Personalverwaltung
Job Summary
This Postdoctoral position within the Autonomous Systems Lab at the University of Tübingen offers a unique opportunity to work at the intersection of academia and industry. As a researcher in Dr. Shahram Eivazi's group, you will focus on Autonomous Design Systems and Embodied Intelligence. Day-to-day, you will leverage generative models, such as diffusion models and transformer-based architectures, to construct high-dimensional design spaces. You will integrate these models with Deep Reinforcement Learning (DRL) to optimize morphology and control for real-world physical interactions. The role is based at both the University of Tübingen and the Festo Lab, providing access to a premier AI research hub including the Max Planck Institute and Cyber Valley. This position is ideal for a candidate looking to apply advanced machine learning theories to adaptive, physical systems while collaborating with leading experts in the field of artificial intelligence.
Required Skills
Education
Ph.D. in Computer Science or a related discipline
Experience
- Professional experience in Machine Learning research
- Experience with generative models or reinforcement learning
- Proven track record of academic publications
- Experience in high-dimensional optimization or adaptive systems
- Demonstrated ability to work independently and within collaborative research teams
Languages
Additional
- The position is a full-time (100%), fixed-term contract for 2 years. Salary is based on the E13 TV-L scale. Candidates must submit a cover letter, CV, and publication list in a single PDF file.
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