PhD in Causal AI for Cardiometabolic Health Data

DTU — Technical University of Denmark; København; On-site; DKK 320,000 - 400,000; Full time

Job summary

University of Copenhagen seeks a PhD fellow to join the Rasmussen Lab at CBMR, focusing on causal AI methods for cardiometabolic health. The project builds digital twins by integrating genomics, multi-omics and longitudinal data with clinical collaboration.

The position offers 3 years as a PhD fellow, with enrolment at the Graduate School at the Faculty of Health and Medical Sciences. Start date is January 1, 2027, or after agreement.

Qualifications

• Master’s degree in Biology, Bioinformatics, Data Science or related sciences.
• Degree equivalence to Danish master’s degree (2 years).
• Excellent English communication skills (written and spoken).
• Curious mindset with interest in AI applied to health data.

Responsibilities

• Develop causal AI-based methods to understand cardiometabolic disease.
• Contribute to building medical digital twins from multi-omics data.
• Collaborate with clinical and international partners across data science, biology, and medicine.

Skills

Biology

Bioinformatics

Data Science

English proficiency

AI health data

Education

Master's degree

Tools

N/A

Job description

University of Copenhagen seeks a PhD fellow to join the Rasmussen Lab at CBMR, focusing on causal AI methods for cardiometabolic health. The project builds digital twins by integrating genomics, multi-omics and longitudinal data with clinical collaboration.

The position offers 3 years as a PhD fellow, with enrolment at the Graduate School at the Faculty of Health and Medical Sciences. Start date is January 1, 2027, or after agreement.