Postdoctoral Researcher in machine learning (m/f/d)

Faculty of Science, Department of Computer Science Autonomous Systems Lab at the University of Tübingen is searching for a Postdoctoral Researcher in machine learning (m/f/d, E13 TV-L, 100%) limited for 2 years The research group of Dr. Shahram Eivazi at the University of Tübingen is working on the Autonomous Design Systems and Embodied Intelligence, leveraging generative models such as diffusion models and transformer-based architectures to construct high-dimensional design spaces. These models are integrated with Deep Reinforcement Learning (DRL) for fine-tuning or end-to-end learning, enabling adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning, ideally with experience in generative models, reinforcement learning, or high-dimensional optimization. Programming proficiency in languages such as Python. Ability to work both independently and in a team Environment Tübingen is a leading hub for AI research, hosting communities such as the Tübingen AI Center, Max Planck Institute for Intelligent Systems, and Cyber Valley. Our group operates at two locations: the University of Tübingen and the Festo Lab, providing a unique environment for close collaboration between academia and industry. Details of the research activities as well as publications and background information are available on the group website:  Additional comments The University seeks to raise the number of women in research and teaching and therefore emphatically calls on qualified women to apply. Disabled candidates will be given preference over other equally qualified applicants. The university is committed to equal opportunities and diversity. It therefore takes individual situations into account and asks for relevant information. The employment contract will be handled by the central administration of the University of Tübingen. How to apply Applications should be accompanied by a cover letter, a CV and a list of publications should be added. The position is to be filled immediately. The deadline for the application is . Please send your application in one PDF file to .