Summary
The University of Basel is offering a fully funded PhD position in the field of Computational Pharmacy. This position centers around advancing drug design methodologies by integrating physicochemical principles into deep learning approaches. The successful candidate will focus on creating a novel framework that incorporates protein-ligand dynamics.
PhD Position in Physics-Inspired AI for Drug Design, University of Basel, Basel, Switzerland
Designation
PhD Candidate in Computational Pharmacy
| Details | Information |
|---|---|
| Research Area | AI for Drug Design, Computational Chemistry |
| Location | University of Basel, Basel, Switzerland |
| Eligibility/Qualification | MSc in Physics, Computational Chemistry, or Computer Sciences. Excellent knowledge of Statistical Mechanics & Thermodynamics and strong programming skills in Python. |
| Job Description | – Design and implement deep neural network models – Integrate physical principles into learning architectures – Collaborate with experimental research groups for real-world validation |
| How to Apply | Submit a complete application including: – Letter (max. 1 page) highlighting motivation, experience, and skills – CV – Bachelor’s and Master’s degree diplomas – Contact details of at least two academic references via the online recruiting platform. |
| Last Date to Apply | Immediate availability, apply as soon as possible. |
For more information about the laboratory and ongoing research, visit the Computational Pharmacy Group.
Contact for Questions:
Prof. Markus Lill
Email: markus.lill@unibas.ch
