Postdoc: Multi-Modal ML for Mental Health

DTU; København; Remote; DKK 420,000 - 560,000; Full time

Job summary

DTU Compute invites applications for a 22-month, full-time postdoc position focusing on building multi-modal models for mental health in a Danish context. You will collaborate with hospitals, startups, and Denmark’s AI research ecosystem to advance foundation models using wearables, speech, and video data.

The role emphasizes strong research output, international collaboration, and dissemination in journals, in a dynamic academic environment at DTU Compute.

Qualifications

• PhD required for the postdoc role.
• Strong research capabilities in machine learning and ML for mental health applications.
• Ability to work across disciplines including collaboration with hospitals, startups, and research institutes.

Responsibilities

• Data collection activities.
• Data annotation activities.
• Developing novel multimodal models (wearables, speech, video).
• Making foundation models more representative.
• Modeling data from mental health applications with clinical experts.

Skills

Interdisciplinary collaboration

Project management

Machine learning research

Mental health awareness

Education

PhD degree or equivalent

Job description

DTU Compute invites applications for a 22-month, full-time postdoc position focusing on building multi-modal models for mental health in a Danish context. You will collaborate with hospitals, startups, and Denmark’s AI research ecosystem to advance foundation models using wearables, speech, and video data.

The role emphasizes strong research output, international collaboration, and dissemination in journals, in a dynamic academic environment at DTU Compute.