PhD in AI for Musculoskeletal Health and Medical Imaging at ETH Zürich / Singapore-ETH Centre Singapore-ETH Centre in Singapore

Call for applications for a PhD Researcher in AI for Musculoskeletal Health (AI TokCart) at the Singapore-ETH Centre, with the PhD degree awarded by ETH Zurich.

This project sits at the intersection of computer science, medical imaging, machine learning, deep learning, multimodal learning, representation learning, biomechanics, and healthcare analytics. The research aims to develop cross-modal AI models for musculoskeletal (MSK) health, including bone health assessment, fracture-risk prediction, and the integration of diverse clinical imaging datasets into a shared latent space.

The successful candidate will work on pretraining and adapting foundation models for medical image data, cross-modal translation, multimodal fusion, and related generative or representation-learning approaches. The role also includes evaluating models on clinically relevant downstream tasks and co-supervising MSc/BSc students.

Eligibility: applicants should hold an MSc in computer science, engineering, mathematics, physics, or a related quantitative field. Strong skills in machine learning/AI, image processing, Python, and software development are required, along with experience using Git and collaborative workflows. Independent working ability, strong motivation, and excellent English are essential. Experience with medical imaging, HPC/parallel computing, and multimodal or generative AI is preferred.

Funding: fully funded for up to 4 years. The position is based in Singapore at the Singapore-ETH Centre, with local working regulations applying. Benefits include 25 days annual leave, healthcare insurance, flexible hybrid work, and wellness support.

Application: apply online only via the ETH Zurich portal. Prepare a motivation letter tailored to the project, a CV with two referees, and academic transcripts. Questions about the position can be directed to Dr Benedikt Helgason at [email protected].