Industrial Phd Student In Machine Learning And Drug Design In Molecular Ai

AstraZeneca

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 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 AstraZeneca, Lund University, and KTH Royal Institute of Technology, fostering knowledge sharing and exposure to industrial drug discovery.
  • AstraZeneca is a global, science-driven biopharmaceutical company dedicated to turning ideas into life-changing medicines and continuously meeting unmet patient needs 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
  • Binding affinity prediction
  • Computational molecular modelling
  • Machine learning techniques
  • Collaborative research environment

Nice-to-have

  • Experience with deep learning models
  • Molecular Mechanics and Dynamics
  • Quantum Mechanics for small molecules
  • Workflow automation and software development
  • Interdisciplinary collaboration

Key Requirements

  • Master of Science in relevant discipline
  • Excellent English communication skills
  • Strong motivation and collaborative mindset
  • Ability to rapidly acquire new skills
  • Application submitted by April 19, 2026

Work Rights

Not specified

Tailored Resume

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