PhD Position in Trustworthy Biomedical AI
Join a research group at Helmholtz Munich to develop open, trustworthy AI systems for biomedical applications.
Best for:Best for candidates with a strong background in computer science or bioinformatics who are passionate about open-source development and trustworthy AI in biomedicine.
Overview
Helmholtz Munich is seeking a PhD candidate to join the Accessible Biomedical AI group, focusing on the intersection of machine learning and biomedicine. The successful applicant will define and drive their own doctoral project, contributing to areas such as knowledge representation, agentic systems, and AI evaluation. The role involves working in an open-source environment, collaborating with the Computational Health Center and the German Center for Diabetes Research. Candidates will benefit from structured graduate training and close mentorship while developing tools that are used by the global research community.
What you'll do
- Formulate and execute a doctoral research project within the group's scope.
- Design, implement, and evaluate AI methods and systems using reproducible research practices.
- Contribute to the group's open-source software ecosystem.
- Publish research findings in leading machine learning and bioinformatics venues.
- Present work at international scientific meetings and conferences.
- Collaborate with institutional networks across method and domain expertise.
Requirements
Degree required: Master's degree in Computer Science, Machine Learning, Data Science, Bioinformatics, Computational Biology, or a related field.
Degree offered: PhD
Language: Fluent written and spoken English.
Instruction: English
- Strong proficiency in Python programming.
- Working knowledge of git, testing, and documentation practices.
- Ability to scope and drive independent research projects.
- Comfort with open-ended problem solving and planning.
- Must hold or be near completion of a Master's degree.
- Must be able to provide proof of degree comparability if obtained abroad.
Funding & terms
How to apply
Applications must be submitted via the online portal. Applicants should provide a CV, cover letter, academic transcripts, contact details for two referees, and a one-page motivation letter outlining a potential research project.
- CV
- Cover letter
- Degrees/Diplomas/Certificates
- Contact details for at least two referees
- Motivation letter
- Academic transcripts
- Links to software repositories or portfolio
Contact
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