PostDoc Position in AI-based Drug Discovery, University of Basel, Switzerland

Postdoc Position - 2019 in Switzerland, EPFL School of Engineering

PostDoc Position in AI-based Drug Discovery: Join the Division of Computational Pharmacy at the Department of Pharmaceutical Sciences as a Postdoctoral Researcher and contribute to cutting-edge drug discovery research. This position involves developing and applying advanced computational methodologies that integrate physicochemical knowledge into deep neural network algorithms for efficient protein-ligand conformational state sampling. The focus of the project will be on protein-ligand co-folding using innovative techniques.

Designation: Postdoctoral Researcher

Research Area: AI-based Drug Discovery, Computational Pharmacy

Location: Department of Pharmaceutical Sciences, University of Basel, Switzerland


  • PhD in Physics, Physical/Computational Chemistry, Mathematics, or Computer Sciences
  • Strong programming skills
  • Experience in developing and applying deep neural network concepts
  • Knowledge in generative models (e.g., diffusion models) is desirable
  • Proficient in verbal and written English communication
  • Highly motivated and collaborative team player

Job Description: As a Postdoctoral Researcher, your responsibilities will include:

  • Extending ongoing research by developing novel algorithms for drug design that combine physics-based modeling with deep neural network concepts.
  • Implementing and refining deep neural network models based on recent advancements in diffusion models and GFlowNets.
  • Contributing to the efficient and accurate sampling of protein-ligand conformational states (protein-ligand co-folding).
  • Collaborating within an international and collaborative research environment to advance the field of Computational Drug Design.
  • Potentially supervising junior researchers and enhancing your academic profile.

We Offer You:

  • A PostDoc position in a dynamic research environment
  • Opportunity to work with and advance emerging technologies in Computational Drug Design
  • Collaborative and international research atmosphere
  • Potential for professional growth and academic profile enhancement

How to Apply: Interested candidates are requested to submit their application documents via the online recruiting platform. Please include the following:

  • A letter (max. 1 page) highlighting your motivation, scientific experience, and skills
  • CV (Curriculum Vitae)
  • List of publications
  • Brief summary (including citation) of 2-3 most relevant publications
  • Diploma of your completed PhD degree (if applicable)
  • Contact details of at least two academic references

Last Date for Apply: [Insert Application Deadline]

Starting Date: 1. December 2023

Learn More About Us: Explore more about the Division of Computational Pharmacy and our research initiatives at Department of Pharmaceutical Sciences – Computational Pharmacy

For Questions: For any inquiries, please reach out to:

Take this opportunity to contribute to groundbreaking research in AI-based Drug Discovery and Computational Pharmacy at the University of Basel.

University of Basel – Shaping the Future of Pharmaceutical Sciences.



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