PhD Student: Biomolecular Dynamics × AI/ML (ERBIOM project)

We are looking for a PhD student to join a project at the interface of biomolecular dynamics and modern data science (ERBIOM project). Our group has a long-standing track record in molecular modeling, molecular dynamics simulations, and structural bioinformatics of proteins and other biomolecules — and we're now scaling that expertise to meet the volume and complexity of data these methods generate.
This is not a conventional bioinformatics or molecular biology position. We're looking for someone genuinely excited by the intersection of structural/molecular biology, physics-based simulation, and machine learning/deep learning - a person who wants to be challenged by combining these fields rather than specializing in just one of them. You'll work on problems where large-scale simulation data meets ML/DL methods to extract new insight into protein and biomolecule dynamics.

Requirements

• MSc (or equivalent) in a relevant field — computational biology, bioinformatics, biophysics, computer science, or similar
• Solid programming skills (Python and/or comparable)
• Genuine interest in both molecular dynamics/structural biology and ML/AI — we care more about curiosity and drive to bridge these fields than a perfect-fit CV
• Good command of English

We offer

• PhD position within the ERBIOM project, embedded in an established group with deep expertise in computational structural biology
• Access to IOCB Prague's research infrastructure and computational resources
• Close connection to the ELIXIR CZ community and its data/tools ecosystem
• Competitive salary + health and social insurance
• 5 weeks of vacation plus 4 days of personal leave and additional employee benefits
• Support for parents with young children
• International work environment, location in central Prague
• Work on cutting-edge topics with immediate impact
• Access to cutting-edge research infrastructure

How to apply

Send your CV, a short motivation letter, and contact details for references.

Application deadline: 31.8.2026