PhD position in ML for medical imaging, neurogenomics and neuronal modelling

The Department of Data Science (headed by Prof. Dr. Philipp Berens) is offering multiple positions for PhD candidates (75%, TV-L E13, m/f/d) in Machine learning for medical imaging, neurogenomics and neuronal modeling  to start as soon as possible. The positions will be initially limited to three years with possible extension. 

The candidate

You are a motivated and enthusiastic person with a Master’s degree in computer science, machine learning, medical informatics, biomedical engineering or related fields, with an interest in developing machine learning techniques for medical imaging, neurogenomics or neuronal modeling in ophthalmology and retinal research. You are curious, have analytical thinking skills, and you communicate clearly in written and verbal settings, and enjoy working in a diverse and international team. You should have prior experience with machine learning and Python programming skills.

About us

We form the founding department of the newly established Hertie Institute for AI in Brain Health and are interested in using machine learning and data science approaches to better understand the healthy and diseased eye and improve diagnostics of ophthalmological diseases. We are uniquely positioned at the intersection of the machine learning and medical research communities in Tübingen. As members of the Cluster of Excellence “Machine learning for Science” and the Tübingen AI center we are a part of the vibrant machine learning ecosystem in the Tübingen area. At the same time, being physically located at the University Hospital Tübingen, we foster strong clinical collaborations. Our group has diverse backgrounds and origins comprising more than 10 different nationalities.

How to apply

Applications should include a CV, your transcripts, and a motivation letter – let us know why you are excited about this opportunity. Members of underrepresented groups are particularly encouraged to apply – currently, we are a diverse team from many different countries and we are excited to receive your application! Please send your application as a single pdf to . The application closes 30 September 2023, but applications will be continuously evaluated even before that date.

The position is also published on

Prof. Dr. Philipp Berens is Full Professor of Data Science at the University of Tübingen and Director of the Hertie Institute for AI in Brain Health. Also, he is Speaker of the Excellence Cluster “Machine Learning – New Perspectives for Science” and is part of the core faculty of the Tübingen AI Center. His goal is to use machine learning to enable discoveries in basic and clinical neuroscience, with a focus on ophthalmology. He is interested in developing new algorithms whose output can be integrated into scientific or clinical workflows. His work has been recognized with a DFG Heisenberg Professorship, an ERC Starting Grant and the Bernstein Award of the German Ministry for Science and Education.