Overview
The Department of Machine Learning and Systems Biology is recruiting a postdoctoral research fellow to develop new methods for graph-structured data and apply them to biological datasets.
Complete research opportunity details
The fellow will develop graph-learning algorithms, revisit classical graph problems using modern machine learning and contribute to next-generation generative graph models, with applications to large-scale experimental biology datasets. The initial appointment is two years with possible extension; the expected start is between December 2026 and June 2027.
Eligibility requirements
Applicants must hold a PhD in computer science, machine learning, bioinformatics or a related field, with strong interest and experience developing machine-learning methods. Graph-based or geometric deep-learning experience is preferred, and strong written and spoken English is required.
Tips for this postdoctoral opportunity
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- Match your research background to the project, laboratory, supervisor and required methods rather than applying only from the title.
- Prepare a focused academic CV, transcripts, publications and research statement or proposal when requested by the official call.
- Confirm funding duration, stipend/salary, tuition coverage, start date and eligibility for international applicants.
- Contact a supervisor before applying only when the official instructions recommend or require it.
Verification notes
Official Max Planck job page and current application portal verified 2026-09-06. The source states a September 30, 2026 application deadline without an explicit closing time.
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