PhD in Computational Pharmacology & GPCR Dynamics

Københavns Universitet; København; On-site; DKK 379,000 - 469,000; Full time

Job summary

Københavns Universitet offers a three-year PhD fellowship in computational pharmacology and pharmaceutical data science, starting 15 October 2026. The project will use MD simulations to study genetic variants and drug responses, focusing on GPCRs, with a strong emphasis on machine learning and data science.

Based in Copenhagen, the PhD student will relocate to Denmark, work within ISBUC and CPDSE networks, and teach within pharmaceutical sciences while developing an independent research program.

Qualifications

• Experience with molecular modelling, molecular dynamics simulations and analysis of simulation data.
• Excellent programming skills, preferably Python including code versioning in GitHub.
• Experience with statistical analysis and/or machine-learning methods.
• Knowledge of protein structure, structural bioinformatics, or molecular interactions; GPCRs or membrane proteins is an advantage.

Responsibilities

• Carry out an independent research project under supervision.
• Complete PhD courses or other equivalent education totaling ~30 ECTS points.
• Participate in active research environments including a stay at another research team, preferably abroad.
• Obtain experience with teaching or other dissemination related to your PhD project.
• Teach undergraduate students in pharmaceutical sciences.
• Write a PhD thesis on the grounds of your project.

Skills

Molecular modelling

MD simulations

Python

GitHub version control

Statistics

Machine learning

English proficiency

Communication

Education

Master's degree in bioinformatics / computational biology or related field

Tools

Python

GitHub

Job description

Københavns Universitet offers a three-year PhD fellowship in computational pharmacology and pharmaceutical data science, starting 15 October 2026. The project will use MD simulations to study genetic variants and drug responses, focusing on GPCRs, with a strong emphasis on machine learning and data science.

Based in Copenhagen, the PhD student will relocate to Denmark, work within ISBUC and CPDSE networks, and teach within pharmaceutical sciences while developing an independent research program.