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 :
- Designing and implementing innovative deep neural network models.
- Integrating physical principles and molecular modeling knowledge into learning architectures.
- Collaborating with experimental research groups, enabling real-world validation and application of newly developed algorithms.
Your profile
MSc in the fields of Physics, Computational Chemistry or Computer Sciences.Excellent knowledge in Statistical Mechanics & Thermodynamics.Research experience preferably with publication.Strong programming skills in Python.Experience in machine learning, in particular neural network concepts.Fluent verbal and written communication skills in English.Highly motivated, interactive team player.