University of Copenhagen
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PhD in Precision Medicine from Graph-Based Medical Digital Twins at the University of Copenhagen University of Copenhagen in Denmark
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 10, 2026
Country
Denmark
University
University of Copenhagen

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About this position
PhD opportunity in Precision Medicine from Graph-Based Medical Digital Twins at the University of Copenhagen, within the Rasmussen Group at the Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR).
The project focuses on AI, bioinformatics, genomics, multi-omics, and longitudinal health data to build medical digital twins for understanding and predicting cardiometabolic disease. The lab works at the intersection of data science, biology, and medicine, with close collaboration with clinical and international partners.
This is a PhD opening with an initial 1-year Research Assistant period followed by 3 years as PhD fellow, subject to positive evaluation. The position is part of the CBMR International PhD & Postdoc Program.
Eligibility highlights: applicants should have a Master’s degree equivalent to a Danish two-year master’s degree in Biology, Bioinformatics, Data Science, or related sciences, obtained before 2026-11-15. The post also asks for a strong interest in applying AI to health data, excellent English communication skills, and relevant academic/professional background such as GPA, publications, and work experience.
Supervisor: Professor Simon Rasmussen (srasmuss@sund.ku.dk).
How to apply: submit an online application in English via the application portal and upload a motivation letter, CV, certified diploma and transcript, publication list, and at least two references. Deadline: 2026-08-10.
Funding: salary and pension are covered under the Danish academic agreement; the post is employment-based rather than a scholarship.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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