Research Assistent and PhD in Precision Medicine from Graph-Based Medical Digital Twins

About the role

The University of Copenhagen is seeking a highly motivated and talented PhD fellow to commence November 15, 2026, or after agreement in the Rasmussen Group at the Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR).

The PhD fellowship is part of the CBMR International PhD & Postdoc Program.

Our Research

The Rasmussen Lab develops and applies advanced AI and bioinformatics methods to understand cardiometabolic disease and advance precision health. A central focus is the creation of AI-driven medical digital twins by integrating large-scale genomics, multi-omics, and longitudinal health data. The group provides a supportive, inclusive, and international environment, where we value diversity across backgrounds and career stages and foster a culture of teamwork, open science, and mutual support.

Project Description

The PhD project focuses on developing AI-based approaches to better understand and predict cardiometabolic disease using large-scale health and biological data. The work will contribute to building medical digital twins: computational representations of individuals that capture health trajectories over time. By combining diverse data sources and modern machine learning methods, the project aims to improve how we model disease risk, progression, and treatment response. The research sits at the intersection of data science, biology, and medicine, and involves close collaboration with clinical and international partners. The position offers a unique opportunity to work with world-leading datasets and contribute to the development of next-generation precision health approaches.

Profile

The PhD fellowship is aimed at early-career researchers with a basic science background or clinicians who aspire to a career in academic medicine.

Required qualifications

• Master’s degree in Biology, Bioinformatics, Data Science or related sciences. Please note that your master’s degree must be equivalent to a Danish master’s degree (two years).
• The grade point average achieved
• Professional qualifications relevant to the PhD project
• Previous publications
• Relevant work experience
• Other professional activities
• A curious mindset with a strong interest in application of AI to health data
• Excellent English communication skills, both written and oral

Eligibility

The PhD fellowships within the CBMR International PhD & Postdoc Program are open for applicants that hold a Master’s degree equivalent to a Danish master’s degree (two years). The Master’s degree has to be obtained before November 15, 2026. You are not eligible to apply for the program if you have been employed in a Research Assistant position for more than two years at the University of Copenhagen prior to the commencement of the fellowship.

Terms of Employment

The employment consists of 1 year as a Research Assistant followed by 3 years as PhD fellow contingent on a positive evaluation of the 1st year. Starting date is November 15, 2026, or after agreement.

Application Procedure

Your online application must be submitted in English via the ‘Apply for position’ link below. Furthermore, your application must include the following documents/attachments – all in PDF format:

• Motivated letter of application (max. one page)
• CV incl. education, experience, language skills and other skills relevant to the position
• Certified copy of original Master’s diploma and transcript of records in the original language, including an authorized English translation if issued in another language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.
• List of publications
• References (name and contact details of at least two references)

Application Deadline

August 10, 2026, 23.59pm CET