Join a fully funded PhD program in the Computational Pharmacy group at the University of Basel. You will work on developing new AI algorithms for drug design by combining physics-based modeling with deep learning. This project aims to create advanced tools for understanding protein–ligand interactions and improving drug discovery.

• Design and implement deep neural network models for drug design
• Integrate physical principles and molecular modeling into learning architectures
• Work closely with experimental research groups to test and apply new algorithms in real-world settings

• MSc degree in Physics, Computational Chemistry, or Computer Sciences
• Excellent knowledge of Statistical Mechanics and Thermodynamics
• Research experience, preferably with publications
• Strong programming skills in Python
• Experience in machine learning, especially neural networks
• Fluent verbal and written English communication skills
• Motivated and able to work well in a team

• Fully funded PhD student position
• Training in key methods of an emerging research field
• International and collaborative research environment