PhD: Causal AI for Real-World Health Data & Digital Twins

Københavns Universitet; København; On-site; DKK 430,000 - 520,000; Full time

Job summary

University of Copenhagen is seeking a highly motivated PhD fellow to join the Rasmussen Lab at CBMR, starting January 1, 2027 or after agreement. The project focuses on causally AI-driven methods to model cardiometabolic disease using large-scale health data and to develop medical digital twins with diverse data sources.

The role involves collaboration with clinical and international partners, contributing to precision health, and requires a Master’s degree in relevant fields with strong English

Qualifications

• Master’s degree in Biology, Bioinformatics, Data Science or related sciences.
• The grade point average achieved.
• Publications.
• Relevant work experience.
• Other professional activities.
• Curious mindset with a strong interest in application of AI to health data.
• Excellent English communication skills, both written and oral.

Responsibilities

• Develop causal AI-based methods to understand and predict cardiometabolic disease using large-scale health data.
• Contribute to building medical digital twins: computational representations of individuals that capture health trajectories over time.
• Collaborate with clinical and international partners in interdisciplinary teams.
• Work with world-leading datasets and contribute to next-generation precision health approaches.

Skills

AI in health data

English communication

Education

Master’s degree in Biology, Bioinformatics, Data Science or related sciences

Job description

University of Copenhagen is seeking a highly motivated PhD fellow to join the Rasmussen Lab at CBMR, starting January 1, 2027 or after agreement. The project focuses on causally AI-driven methods to model cardiometabolic disease using large-scale health data and to develop medical digital twins with diverse data sources.

The role involves collaboration with clinical and international partners, contributing to precision health, and requires a Master’s degree in relevant fields with strong English