The International Max Planck Research School for Molecules of Life (IMPRS-ML) in Munich offers an exceptional opportunity for outstanding students worldwide to pursue a fully funded PhD. Operated by the Max Planck Institute of Biochemistry (MPIB) in collaboration with MPI-BI, LMU Munich, and TUM, IMPRS-ML provides access to cutting-edge research facilities and interdisciplinary training in biochemistry, structural biology, biophysics, cell biology, systems biology, and computational biology.↚
Pursue a World-Class PhD at the Max Planck Institute IMPRS-ML 2025
Available Research Areas
Core Subjects
Biochemistry
Structural Biology
Cell Biology
Molecular Medicine
Biophysics
Computational Biology & Bioinformatics
Systems Biology
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Interdisciplinary Fields
Molecular Mechanisms of Cellular FunctionsProtein Science & Enzyme Function
Gene Expression & Regulation
Signal Transduction Pathways
Neurobiology & Molecular Neuroscience
Synthetic Biology & Biotechnology Applications
Why Choose IMPRS-ML?
Prestigious research environment with globally recognized scientists and state-of-the-art facilitiesInterdisciplinary approach integrating molecular mechanisms, biological systems, and computational biology
International community: 50% of PhD students come from outside Germany, representing over 40 countries
Strong academic outcomes: Students publish on average three papers during their PhD, including in high-impact journals such as Nature, Science, and Cell
Fully funded positions with a monthly net salary of ~€2,040 including health insurance and social security
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Eligibility Criteria
Master’s degree or equivalent in life sciences, biochemistry, biophysics, computational biology, or related fieldsStrong academic record and research experience
Fluency in English; knowledge of German is advantageous but not required
Scholarship Benefits
Fully funded PhD position with work contractMonthly salary of ~€2,040 net
Health insurance and social security coverage
Access to cutting-edge laboratories, seminars, and workshops
Opportunities for international collaboration and networking
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Application Procedure
Submit your online application via the IMPRS-ML portalInclude CV, academic transcripts, research statement, recommendation letters, and other required documents
Shortlisted candidates will be invited for interviews and selection by the program committee