31.10.2024

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

Faculty of Science, Department of Computer Science, Boehringer Ingelheim

Bewerbungsfrist: 30.11.2024

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, a leading pharmaceutical company, is inviting applications 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 this project, you will

• infer ancestral recombination graphs from large-scale human biobank data;
• identify patterns in genomic data associated with immune diseases;
• develop Graph Convolution Networks to analyze large ancestral recombination graphs;
• apply the developed tools to real-world data to support medical research.

Your host: Computational Population Genetics Group led by Dr. Franz Baumdicker.
Your collaborating scientist: Zhihao Ding (Head of Global Human Genetics and Animal Health Genomics) at Boehringer Ingelheim.

Your profile
The ideal candidate will bring

• a Ph.D. or equivalent in Computational Population Genetics, Machine Learning, Bioinformatics, Medical Informatics, Computer Science, Mathematics, or a related discipline. This position is also suited for researchers who have recently finished or are about to finish their PhD.
• demonstrated experience in human population genetics on real and simulated data
• experience in translating methodological advances into practical applications
• experience in phylogenetics, coalescent theory
• experience in graph convolution networks
• proficiency in coding (Python)
• a competitive track record of scientific publications
• a keen interest in interdisciplinary work
• the ability to work both independently and as part of a collaborative team 

Our offer
This position offers you

• exciting research at Europe’s leading AI campus
• cooperation with a research-driven global pharmaceutical company
• collegial and supportive work atmosphere
• remuneration in accordance with the TV-L (collective agreement for public employees of the German federal states) as well as all corresponding benefits
• 30 days/year of paid vacation
• potential for travel to conferences and professional development workshops
• career mentoring
• opportunity to gain leadership experience by supervising research assistants
• extensive visa and onboarding assistance
• 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. 

Further information
For further information on the project, please reach out to franz.baumdickerspam prevention@uni-tuebingen.de 

How to apply
Please send your application (including a motivation letter, CV, certificates, bullet point list of representative publications and their relevance for this project, contact details of 2 academic references) with the subject “AI and Data Science Fellowship Program Application” via e-mail to franz.baumdickerspam prevention@uni-tuebingen.de 
Application deadline: 30.11.2024.