Industrial Phd Student In Machine Learning And Drug Design In Molecular Ai
Trzdev35
Gothenburg, Sweden
Physics-informed machine learning models
Computational molecular modelling approaches
Binding affinity prediction
The industrial PhD student will focus on developing precision ML/AI models for rational small-molecule drug design to improve binding affinity estimates
Job Summary
The industrial PhD student will focus on developing precision ML/AI models for rational small-molecule drug design to improve binding affinity estimates.
The position offers a collaborative environment split between Lund University, AstraZeneca Gothenburg, and KTH Royal Institute of Technology, fostering interdisciplinary research and industrial exposure.
AstraZeneca is dedicated to turning ideas into life-changing medicines and strives to continuously meet the unmet needs of patients worldwide.
Matching Summary
The industrial PhD student will focus on developing precision ML/AI models for rational small-molecule drug design to improve binding affinity estimates.
Skills & Requirements
Must-have
Physics-informed machine learning models
Computational molecular modelling approaches
Binding affinity prediction
Collaborative interdisciplinary teamwork
Application of state-of-the-art ML techniques
Drug design using AI
Nice-to-have
Experience with molecular dynamics simulations
Proficiency in Python and deep learning
Exposure to workflow automation
Industrial collaboration experience
Entrepreneurial skills
Strong motivation in computational drug development
Key Requirements
Master of Science in relevant discipline
Excellent English communication skills
Ability to rapidly acquire new skills and training
Application submitted by April 19th, 2026
Temporary position for 4 years
Willingness to engage with cutting-edge ML methods