项目介绍

2026年9月18日

The University of Copenhagen is seeking a highly motivated and talented PhD fellow to commence January 1, 2027, or after agreement in the Rasmussen Group at the Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR), University of Copenhagen.

About Us
The Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR) is an academic research Center that pioneers groundbreaking research towards better cardiometabolic health. Through collaborative interdisciplinary research from single-cell genomics to whole-body systems, CBMR aims to transform the basic understanding of cardiometabolic health and accelerate its translation into prevention and treatment strategies. The Center’s uniquely multi- and interdisciplinary approach combines research in genetics, physiology and pharma­cology, to better understand the complex interplay of the many factors that drive cardiometabolic disease. You can learn more in the Executive Summary of CBMR’s Strategy 2024–2028.

CBMR was established in 2010 at the Faculty of Health & Medical Sciences and has been located in the Maersk Tower at Panum since 2017. The around 260 employees create an international, highly collaborative research environment across disciplines.

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. We are an interdisciplinary and collaborative team spanning machine learning, computational biology, and clinical research, working closely with leading international academic partners. 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 highly scalable computational methods for biobank-scale genomics data. The work will develop new approaches for analyzing genetic variation and haplotype information to better understand the genetic basis of complex diseases and improve disease risk prediction across diverse populations. By combining large-scale genomic and health data, the project aims to uncover patterns of genetic ancestry, identify disease-associated genetic variation, and develop more accurate and transferable prediction models. The research sits at the intersection of statistical genetics, computational genomics, and machine learning, with a particular focus on common cardiometabolic diseases. The position offers a unique opportunity to develop novel methodology, work with some of the world’s largest biomedical datasets, and contribute to more accurate and equitable genomic precision medicine.

Principal supervisor: Professor,Simon Rasmussen, srasmuss@sund.ku.dk

Co-supervisor: Assistant Professor, Jonas Meisner, jonas.meisner@sund.ku.dk

Start:  January 1, 2027

Duration: 3 years as PhD fellow.

Profile

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

Required qualifications:

• Master’s degree in Bioinformatics, Precision Medicine 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
• Experience with biobank-scale datasets such as All of Us or UK Biobank
• Experience with developing and validating large-scale diagnostic analyses
• Experience with integrating evolutionary information in protein design models
• Other professional activities
• A curious mindset with a strong interest in developing computational methods in genomics
• Excellent English communication skills, both written and oral