Postdoctoral Researcher or PhD Student in Bioinformatics / Machine Learning (f/m/d)

Tasks

• Develop 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

Profile

• For PhD position (75 %): MSc in computational neuroscience, bioinformatics, machine learning or related field
• For Postdoc position (100 %): PhD in computational neuroscience, bioinformatics, machine learning or related fields, prior publications at conferences / in journals
• Interest and track record in a data-driven approach to modeling transcriptomic data, neural systems or understanding disease mechanisms 
• 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 their employee service platforms 
• Structured onboarding phase, hospital-owned academy for developing professional, social, and methodological skills
•  Healthcare through a wide range of sports activities

About us

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 Department of Data Science, Hertie AI

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. The Institute is 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. The Hertie Institute is 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, the Hertie Institute is part of the vibrant machine learning ecosystem in the Tübingen area. At the same time, their location at the University Hospital of Tübingen allows us to maintain strong clinical collaborations. Their group has diverse backgrounds and origins and includes more than 10 different nationalities.

Contact for questions

Hertie AI
Hertieai@medizin.uni-tuebingen.de

Application deadline: 10.04.2025

The Hertie Institute offers 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.