Karriere
am Klinikum & Medizinischer Fakultät
Postdoctoral Researcher or PhD student computational neuroscience / machine learning (f/m/d)
Hertie Institute for AI in Brain Health, Department of Data Science, index number 5996
Full-/Part-time75 - 100 %
Limited: 3 years , possibility of extension
Start of work:As soon as possible
Application deadline:10.04.2025
- Develop deep reinforcement learning methods for understanding efficient coding in the retina
- Simulate neuron models on different levels (from abstract to biophysical)
- Work with experimental researchers to contribute to understanding of the evolution of cell types in the retina
- For PhD position (75 %): MSc in computational neuroscience, machine learning or related fields
- For Postdoc position (100 %): PhD in computational neuroscience, machine learning or related fields, prior publications at conferences / in journals
- Interest and track record in a data-driven approach to neural coding or reinforcement learning
- Curiousity, excellent analytical and communication skills Interest to work in a diverse and international team
Benefits
- Work in the diverse environment of a modern university hospital, which, in addition to patient care, also focuses on medical research and teaching
- A future-proof job and location, as well as attractive compensation including a company pension plan (VBL), with the greatest possible flexibility in working hours
- Subsidy for public transport tickets and attractive discounts on our employee service platforms
- Structured onboarding phase, hospital-owned academy for developing professional, social, and methodological skills
- Healthcare through a wide range of sports activities
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.
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.
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.
Hertie AI
hertieai@medizin.uni-tuebingen.de
hertieai@medizin.uni-tuebingen.de
Hertie Institute for AI in Brain Health
Index number: 5996
Including CV and cover letter
Application deadline: 10.04.2025
Index number: 5996
Including CV and cover letter
Application deadline: 10.04.2025
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We offer remuneration in accordance with TV-L (collective wage agreement for the Public Service of the German Federal States),
severely handicapped persons with equal qualifications are given preferential consideration.
Interview expenses are not covered.
Please note the applicable vaccination regulations.
