Industrial Phd Student In Machine Learning And Drug Design In Molecular Ai
medizinstellenmarkt.de
Gothenburg, Sweden
Physics-informed machine learning models
Binding affinity prediction
Computational molecular modelling
The industrial PhD student will focus on developing precision ML/AI models for rational small-molecule drug design to improve binding affinity prediction and drug candidate prioritization
Job Summary
The industrial PhD student will focus on developing precision ML/AI models for rational small-molecule drug design to improve binding affinity prediction and drug candidate prioritization.
The research time will be split between Lund University, AstraZeneca in Gothenburg, and KTH Royal Institute of Technology, providing a collaborative and interdisciplinary environment.
The position offers exposure to cutting-edge machine learning methods, computational chemistry, and the industrial drug discovery process within a global biopharmaceutical company.
Matching Summary
The industrial PhD student will focus on developing precision ML/AI models for rational small-molecule drug design to improve binding affinity prediction and drug candidate prioritization.
Skills & Requirements
Must-have
Physics-informed machine learning models
Binding affinity prediction
Computational molecular modelling
Collaborative research environment
Python programming
Machine learning techniques
Nice-to-have
Experience with molecular mechanics and dynamics
Knowledge of quantum mechanics and statistical mechanics