Publisher
source

University of Copenhagen

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

The position is a 1-year Research Assistant appointment followed by 3 years as a PhD fellow, contingent on a positive evaluation after the first year. Salary, pension, and employment terms follow the Danish state academic agreement.

Deadline

Aug 10, 2026

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Country

Denmark

University

University of Copenhagen

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Keywords

Computer Science
Machine Learning
Biomedical Engineering
Biology
Artificial Intelligence
Computational Biology
Precision Medicine
Medical Science
Digital Twin Technology
Omics
Genomic
Statistics
Bioinformatic

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 ([email protected]).

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

The position is a 1-year Research Assistant appointment followed by 3 years as a PhD fellow, contingent on a positive evaluation after the first year. Salary, pension, and employment terms follow the Danish state academic agreement.

What's required

Applicants should hold a Master’s degree equivalent to a Danish two-year master’s degree in Biology, Bioinformatics, Data Science or related sciences, obtained before November 15, 2026. The post seeks early-career researchers or clinicians with a basic science background, a strong interest in applying AI to health data, excellent English communication skills, and relevant qualifications such as GPA, publications, work experience, and other professional activities.

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