PhD Candidate: Adaptive Restorative XR for Stress Recovery

DTU; Denmark; Remote; DKK 424,000 - 513,000; Full time

Job summary

DTU is seeking a PhD candidate to develop adaptive restorative XR at the intersection of HCI, machine learning, and biosensing in a joint DTU–KTH project with extended stays at KTH. The scholarship is 3 years with enrollment in a DTU degree program and a January 2027 start.

The candidate should hold a two-year master’s degree or equivalent, have programming experience, and be able to conduct empirical user research in an international collaboration.

Qualifications

• Two-year master's degree (120 ECTS) or equivalent.
• Strong background in HCI/XR or related fields.
• Programming/prototyping experience and interest in empirical user research.

Responsibilities

• Develop and evaluate human-state-aware XR environments for stress recovery and well-being.
• Prototype adaptive and accessible restorative XR environments.
• Model user state from physiological and behavioural signals and design interpretable adaptations.
• Conduct laboratory studies and longer-term field deployments.
• Collaborate with KTH through shared studies and research stays.

Skills

HCI

XR

Machine learning

Biosensing

Programming

Education

Two-year Master’s

Job description

DTU is seeking a PhD candidate to develop adaptive restorative XR at the intersection of HCI, machine learning, and biosensing in a joint DTU–KTH project with extended stays at KTH. The scholarship is 3 years with enrollment in a DTU degree program and a January 2027 start.

The candidate should hold a two-year master’s degree or equivalent, have programming experience, and be able to conduct empirical user research in an international collaboration.