Karriere
am Klinikum & Medizinischer Fakultät
PhD student in bioinformatics / machine learning (f/m/d)
Hertie Institute for AI in Brain Health, Department of Data Science, index number 6816
Part-time75 %
Limited: 3 years, possibility of extension
Start of work:as soon as possible
Application deadline:18.11.2025
- Develop probabilistic machine learning models for longitudinal spatial transcriptomics data
- Identify corresponding functional and genetic cell types in the retina
- Work with experimental researchers to contribute to understanding of disease and aging at the cell type level in the retina
- Integrate existing dissociated and spatial transcriptomic datasets using established or newly developed algorithms
- Contribute to project management, teaching and grant writing
- MSc in computational neuroscience, bioinformatics, machine learning or related field
- Prior publications at conferences / in journals is a plus
- Interest and track record in a data-driven approach to modeling transcriptomic data, neural systems or understanding disease mechanisms
- Experience with handling of complex data sets and development of open source software packages
- 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 (Hertie AI, https://hertie.ai/), 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.
Mr. Prof. Philipp Berens
Index number: 6816
Including CV and cover letter
Application deadline: 18.11.2025
Index number: 6816
Including CV and cover letter
Application deadline: 18.11.2025
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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.
