Your position
A fully funded PhD position is available in the Computational Pharmacy group at the University of Basel. The successful candidate will contribute to ongoing research on the development of novel physics-guided AI algorithms for drug design, integrating physics-based modeling with state-of-the-art deep learning methods. The project will focus on creating a next-generation docking framework that explicitly incorporates protein–ligand dynamics.
You will be responsible for:
1. Designing and implementing innovative deep neural network models.
2. Integrating physical principles and molecular modeling knowledge into learning architectures.
3. Collaborating with experimental research groups, enabling real-world validation and application of newly developed algorithms.
Your profile
4. MSc in the fields of Physics, Computational Chemistry or Computer Sciences.
5. Excellent knowledge in Statistical Mechanics & Thermodynamics.
6. Research experience preferably with publication.
7. Strong programming skills in Python.
8. Experience in machine learning, in particular neural network concepts.
9. Fluent verbal and written communication skills in English.
10. Highly motivated, interactive team player.