Postdoctoral Research Fellow – AI & Data Science (f/m/d, 100%, E13 TV-L)

University of Tübingen


Application deadline: 15.02.2023

The AI & Data Science Fellowship Program , a cooperation between the University of Tübingen, distinguished as excellent by the Federal Government of Germany, and Boehringer Ingelheim, one of the leading pharmaceutical companies, is currently looking for a

Postdoctoral Research Fellow – AI & Data Science
(f/m/d; E13 TV-L, 100%)

to work on cutting-edge and exciting AI & data science research topics that generate real added value for human and animal healthcare.

The initial fixed-term contract will start as soon as possible and have a duration of 2 years with possible extension.

About the project

In the next two years you will focus on research on anomaly detection for histopathology. The goal is to find any deviation from healthy tissue, such as pathologies, based on image data. The approach should learn the appearance of healthy tissue, be able to take advantage of certain known pathologies, but also detect completely new changes. Furthermore, it should be able to improve continuously getting different kind of human feedback from pathologists. Fast detection of anomalous tissue is important for early detection of toxic drug candidates. This can help to reduce time, costs, and the number of animal tests in drug discovery.

As a Postdoc, you will be hosted in the Machine Learning Group led by Prof. Matthias Hein and collaborate with Dr. Fabian Heinemann, Head Biomedical AI-lab / Drug Discovery Sciences of Boehringer Ingelheim.

Your profile

  • This position is suited for researchers who have recently finished or are about to finish their PhD in machine learning, computer vision or a related discipline. 
  • The ideal candidate is self-motivated, comfortable with both analytic and critical thinking, and has a strong computational and mathematical background. 
  • You should be familiar with modern deep learning frameworks such as PyTorch.
  • Prior work on anomaly detection, out-of-distribution detection, continual learning as well as having experience with histopathological data is a plus.

Our offer

We offer you an exciting research position at a highly renowned university, in a welcoming and agile team, where you will have the possibility to conduct research with a high amount of autonomy, a collegial work atmosphere and ongoing career mentoring.

We provide remuneration in accordance with the TV-L (collective agreement for public employees of the German federal states) as well as all corresponding benefits, e.g., extensive visa and onboarding assistance, 30 days/year of paid vacation, flexible working hours, discounted public transportation, etc.

We value diversity in science, and particularly look forward to receiving applications from women, non-binary people, and researchers from underrepresented groups across cultures, genders, ethnicities, and lifestyles. We actively promote the compatibility of science, work, studies, family life and care work. In case of equal qualification and experience, physically challenged applicants are given preference.

How to apply

Please send your application (including motivation letter, curriculum vitae, certificates, contact information of two referees, representative publications, and links to publicly available code examples e.g., GitHub, OSF, etc.) as a single PDF to Prof. Matthias Hein: matthias.heinspam .

Application deadline: February 15th, 2023.


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