Fully Funded PhD Position in Physics-Inspired AI for Drug Design at University of Basel University of Basel in Switzerland

The University of Basel's Computational Pharmacy Group is offering a fully funded PhD position in Physics-Inspired AI for Drug Design. This interdisciplinary research opportunity integrates quantum mechanics, molecular dynamics, and deep learning to advance pharmaceutical discovery. The project focuses on embedding physicochemical principles into neural networks to predict protein-ligand interactions, enabling the design of novel drug candidates and transforming precision medicine and therapeutic development.

The successful candidate will join a dynamic team at the University of Basel, Switzerland, working under the supervision of Prof. Markus Lill. The position is fully funded and offers 100% employment, with a start date in February 2026. The research will involve advanced computational methods, including statistical mechanics, thermodynamics, and machine learning, with a strong emphasis on Python programming and neural network development.

Applicants should possess an MSc in Physics, Computational Chemistry, or Computer Sciences, with excellent knowledge in statistical mechanics and thermodynamics. Strong programming skills in Python, experience in machine learning and neural networks, and a proven research track record (preferably with publications) are required. Fluency in English and a collaborative, motivated attitude are essential.

To apply, candidates must prepare a motivation letter (max. 1 page), CV, copies of Bachelor's and Master's diplomas, and contact details for at least two academic references. Applications should be submitted via the University of Basel's online recruiting platform. For further information or questions, applicants may contact Prof. Markus Lill at [email protected]. More details and the application portal can be accessed through the provided links.

This position is ideal for candidates interested in computational pharmacy, physics-inspired artificial intelligence, and drug discovery, offering a unique opportunity to contribute to cutting-edge research in a leading European institution.