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Computational Pharmacology● OpenPreview

PhD Fellowship in Computational Pharmacology and Data Science

Investigate GPCR dynamics and drug responses using atomistic MD simulations and machine learning.

Best for:Best for bioinformaticians and data scientists with a strong background in molecular dynamics simulations and machine learning.

University of Copenhagen · Copenhagen, Denmark · R1 · First-stage researcher
More professors at University of Copenhagen
Computational PharmacologyMolecular DynamicsMachine LearningGPCR DynamicsStructural Bioinformatics
Deadline
—
Funding
Salaried
DKK 34.7k/mo
Start date
2026-10-15
Full-time
Location
Copenhagen
Denmark

Overview

The Department of Drug Design and Pharmacology at the University of Copenhagen offers a three-year PhD fellowship focusing on computational pharmacology and pharmaceutical data science. The successful candidate will investigate how genetic variants alter G protein-coupled receptor (GPCR) dynamics and drug responses, utilizing the dopamine D2 receptor as the primary model system. Responsibilities include conducting independent research, completing PhD coursework, participating in international research visits, and teaching undergraduate students. The position provides a dynamic and international research environment with access to modern computational core facilities.

PhD fellowshipcomputational pharmacologymolecular dynamicsmachine learningGPCRbioinformaticsPython

What you'll do

  • Conduct an independent research project investigating genetic variants and GPCR dynamics under supervision
  • Complete PhD coursework and educational activities equivalent to approximately 30 ECTS points
  • Participate in active research environments, including a collaborative research stay with another team abroad
  • Gain teaching experience by instructing undergraduate students in pharmaceutical sciences
  • Write a doctoral thesis based on the outcomes of the research project

Requirements

Degree required: Master of Science in bioinformatics, computational biology, computational chemistry, or a related field

Degree offered: PhD

Language: English; strong written and spoken proficiency

Instruction: English

Required skills
  • Relevant experience with molecular modelling, molecular dynamics simulations, or analysis of simulation data
  • Excellent programming skills in Python with experience in code versioning using GitHub
  • Demonstrated experience with statistical analysis or machine learning methods
  • Knowledge of protein structure, structural bioinformatics, or molecular interactions
  • Strong written and spoken English communication skills
Nice to have
Prior experience working with G protein-coupled receptors (GPCRs) or membrane proteinsKnowledge of cell biology, protein structures, and molecular evolution
Eligibility
  • Hold an academic degree equivalent to a Danish master's degree (180 ECTS BSc plus 120 ECTS MSc)

Funding & terms

Type
Salaried
Amount
DKK 34.7k/mo
Duration
3 years
Programme
University of Copenhagen
University of Copenhagen

How to apply

Deadline: 2026-09-26 (Europe/Copenhagen)

Applications must be submitted electronically through the online portal by clicking the apply link. Ensure all required documents, including a motivated letter of application, CV, diploma transcripts, and publication list, are formatted as PDFs in English.

Documents required
  • Motivated letter of application
  • CV
  • Master of Science diploma and transcript of records
  • Publication list
  • References and recommendations
↗Apply on site

Contact

Alexander Hauser· Principal Supervisor

alexander.hauser@sund.ku.dk

+45 3533 2556

AH
Prof.
Alexander Hauser
Department of Drug Design and Pharmacology
Lab
Center for Pharmaceutical Data Science Education
University of Copenhagen
Denmark
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