PhD in Adaptive Restorative XR — HCI, ML & Biosensing

Danmarks Tekniske Universitet; Ørsted; On-site; DKK 344,000 - 404,000; Full time

Job summary

DTU Engineering Technology is seeking a PhD candidate to investigate adaptive restorative XR at the intersection of HCI, machine learning, biosensing, and accessibility. You will design and evaluate trustworthy, interpretable XR experiences in a joint DTU-KTH project with co-supervision and extended research stays at KTH.

The appointment is for 3 years and based on the Danish collective agreement; the expected starting date is January 2027.

Qualifications

• Strong background in computer science, HCI, XR, ML or related field.
• Programming or prototyping experience and interest in empirical user research.
• Ability to work independently in an international research collaboration.

Responsibilities

• 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, publications, and ~12 months of research stays.

Skills

HCI

XR

Machine learning

Programming

Empirical research

Independence in research

International collaboration

Education

Master's degree (120 ECTS)

Job description

DTU Engineering Technology is seeking a PhD candidate to investigate adaptive restorative XR at the intersection of HCI, machine learning, biosensing, and accessibility. You will design and evaluate trustworthy, interpretable XR experiences in a joint DTU-KTH project with co-supervision and extended research stays at KTH.

The appointment is for 3 years and based on the Danish collective agreement; the expected starting date is January 2027.