PhD Candidate: AI-Driven Digital Twins for Cancer

UK Koeln; Germany (OH); On-site; USD 36,953 - 43,324; Part time

Benefits offered by this job

Fully funded PhD position

State-of-the-art facilities

International city living in Europe

Job summary

University Hospital of Cologne invites applications for a PhD Student in AI-Driven Digital Twins for Oncology. The role focuses on building multimodal AI foundations to model cancer trajectories using clinical, genomic and MRD data.

You will contribute to forecasting outcomes and simulating therapeutic scenarios within a cutting-edge research setting. The position is fully funded for 3 years, part-time (25 h/week) under TV-L 13, based in Cologne, with a strong emphasis on collaboration and

Qualifications

• Master’s degree in CS/Bioinformatics/Physics or related field.
• Strong programming skills in Python and R.
• Proven experience with deep learning and ML.
• Experience with HPC architectures is a plus.
• Excellent English communication in writing and speaking.

Responsibilities

• Build multimodal AI models integrating clinical, genomic, transcriptomic, and MRD data.
• Develop models to forecast disease trajectories and treatment responses.
• Collaborate across interdisciplinary teams and publish results.

Skills

Python

R

Deep learning

Machine learning

English communication

Education

Master’s degree in CS/Bioinformatics/Physics

Tools

High-performance computing

Job description

University Hospital of Cologne invites applications for a PhD Student in AI-Driven Digital Twins for Oncology. The role focuses on building multimodal AI foundations to model cancer trajectories using clinical, genomic and MRD data.

You will contribute to forecasting outcomes and simulating therapeutic scenarios within a cutting-edge research setting. The position is fully funded for 3 years, part-time (25 h/week) under TV-L 13, based in Cologne, with a strong emphasis on collaboration and