Meet ApplyKite Twin, the application assistant that learns with you
Meet your Twin, it learns with you
Your Twin learns with you
Launch week codes:30% off annual Pro20% off monthly Pro
Ends in00h00m00s
Ends in00h00m00s
Jens Carlsson
6 days ago
Postdoctoral position in structure-based drug design using machine learning Uppsala University in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Nov 23, 2026
Country
Sweden
University
Uppsala University
Apply for this position
Keywords
Suggested positions
About this position
This postdoctoral project is based at the Department of Cell and Molecular Biology, Uppsala University, in the research group led by Prof. Jens Carlsson. The Carlsson group works within the Computational Biology and Bioinformatics program and is part of an internationally oriented research environment that also connects to the Science for Life Laboratory.
The project focuses on structure-based drug design for peptide-binding G protein-coupled receptors (GPCRs). The successful candidate will develop and apply virtual screening workflows to identify ligands from large chemical libraries, combining molecular docking with machine learning to prioritize compounds for further study. The work will include screening combinatorial peptide and peptidomimetic libraries as well as naturally occurring peptides from microbes, plants, and animals.
The research sits at the interface of molecular modeling, protein-ligand interaction analysis, and drug discovery. It is carried out in close collaboration with experimental research groups in the Biodiversity2Drugs consortium, which aims to identify bioactive peptides with therapeutic relevance for GPCR targets. The Carlsson group specifically studies how receptors and enzymes interact with drugs and uses structure-based models to understand GPCR signaling and design ligands for pharmaceutically important targets.
The position offers a two-year temporary appointment in a research group with expertise in computational chemistry, structure-based modeling, and collaborative drug discovery.
Funding details
Available
What's required
Applicants must have a PhD degree in computational chemistry, or a foreign degree equivalent to a PhD in computational chemistry, obtained by the time of the employment decision. Preference is given to candidates who completed the degree no more than three years before the application deadline, although earlier degrees may be accepted in special circumstances such as sick leave, parental leave, or union duties. Strong expertise in computational chemistry is required, with demonstrated experience in cheminformatics and structure-based ligand design. Proficiency in molecular docking or co-folding methods for predicting protein-ligand complexes and experience working with chemical libraries are also required. Excellent written and spoken English is required. Experience in machine learning, scientific programming, and structure-based modeling of GPCRs and peptides is preferred but not required.
How to apply
Apply through the Uppsala University Varbi application portal using the application link provided. Answer the application questions in place of a cover letter and submit all requested materials by the deadline.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Professors
Professor
Sweden
Research Interests
Pharmacology
Pharmaceutical Chemistry
G Protein-coupled Receptor
Ligand Design
Molecular Modeling
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.