Postdoctoral Research Fellow (f/m/d)

Potential research directions include

• Uncovering generative and causal mechanisms in neural recordings to identify novel biomarker
• Advancing interpretability in AI models that infer dynamical systems from time series data 
• Developing multi-modal control-theoretic AI approaches for causal intervention

Your profile

• Motivated and intellectually curious scientist with a strong background in machine learning, ideally with expertise in control theory, optimal control or reinforcement learning (RL)
• Candidates should either have experience working with neuroscientific recordings (e.g., electrophysiology, fMRI) or demonstrate a genuine interest and openness to engaging with such data.
• Applicants should be enthusiastic about working with diverse data modalities and driven by a desire to integrate these modalities to advance diagnostics and treatments in neurology and psychiatry.

Hertie AI values individuals who thrive in interdisciplinary environments and are passionate about impactful research at the intersection of machine learning and healthcare.

Benefits

• Exciting and supportive environment with access to state-of-the-art compute facilities 
• Interesting and diverse medical data sets 
• Mentoring and career advice through experienced faculty
• Hertie AI closely collaborates with the world-class AI and neuroscience ecosystem in Tübingen (e.g. Cyber Valley, Cluster of Excellence “Machine Learning in Science”, Tübingen AI Center, Hertie Institute for Clinical Brain Research)

About the Faculty of Medicine at the University of Tübingen:

The Faculty of Medicine is one of the four founding faculties of the Eberhard Karls University of Tübingen. With its non-clinical facilities as well as its research and teaching area corresponding to the organisational units of the University Hospital, it is one of the largest medical training and research institutions in Baden-Württemberg.

About the Institute

The “Hertie Institute for AI in Brain Health” (Hertie AI) at the Faculty of Medicine of the Eberhard Karls University Tübingen is funded by the Gemeinnützige Hertie Stiftung to develop AI algorithms, which detect diseases of the nervous system earlier and treat them better.

Application

To apply, please summit your application (including CV and cover letter) via the application portal. The application deadline is September 15, 2025. 

If you have questions regarding this position, please contact Dr. Christina Bürger via hertieai@medizin.uni-tuebingen.de or check out the website for more information.