• MSc in computational neuroscience, machine learning or related fields
• Prior publications at conferences / in journals are a plus
• Interest and track record in a data-driven approach to biophysics of neurons, neural coding or reinforcement learning
• Experience in developing open source packages, training models in JAX or related frameworks
• Curiousity, excellent analytical and communication skills
• Interest to work in a diverse and international team

Funded by the Hertie Foundation, the Hertie Institute for AI in Brain Health, part of the Medical Faculty of the Eberhard Karls University in Tübingen, Germany, focuses on the development of machine learning algorithms to improve the understanding, early detection and treatment of diseases of the nervous system. We are interested in using machine learning and data science approaches to better understand the healthy and diseased eye and to improve the diagnosis of ophthalmological diseases. We are uniquely positioned at the intersection of machine learning and medical research in Tübingen. The PhD position is part of the international Research Training Group limits2vision (https://limits2vision.net/) in collaboration with the Institute de la vision in Paris. We offer a structured PhD program with the opportunity to develop your individual skillset, intensive support, mentoring and career development. A key component in our program are student secondments at the respective partner institute.

As a member of the Cluster of Excellence "Machine Learning for Science" and the Tübingen AI Center, we are part of the vibrant machine learning ecosystem in the Tübingen area. At the same time, our location at the University Hospital of Tübingen allows us to maintain strong clinical collaborations. Our group has diverse backgrounds and origins and includes more than 10 different nationalities.