Summary
A fully funded PhD position is available at the University of Basel, focusing on developing novel physics-guided AI algorithms for drug design. This research combines physicochemical principles with deep learning methods to create a next-generation docking framework.
PhD Position in Physics-Inspired AI for Drug Design, University of Basel, Switzerland
Designation
PhD Student
| Category | Details |
|---|---|
| Research Area | Physics-inspired AI for Drug Design |
| Location | University of Basel, Switzerland |
| Eligibility/Qualification | MSc in Physics, Computational Chemistry, or Computer Science; expertise in Statistical Mechanics & Thermodynamics; research experience with publication; strong programming skills in Python; machine learning experience, particularly with neural networks; fluent in English. |
| Job Description | – Design and implement novel deep neural network models. – Integrate physical principles and molecular modeling into learning architectures. – Collaborate with experimental groups for real-world validation of algorithms. |
| How to Apply | Submit application documents via the online recruiting platform, including: – Letter (max. 1 page) outlining motivation, experience, and skills. – CV. – Diploma of Bachelor’s and Master’s degrees. – Contact details of at least two academic references. |
| Last Date to Apply | Until the position is filled. |
For more information or inquiries, please contact Prof. Markus Lill at markus.lill@unibas.ch. Additionally, you can explore further details about the research group here.
