PhD Candidate in Machine Learning for Understanding Mental Health Interventions (AI-MENT).

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About the position

The Department of Mental Health and The Trondheim Sleep and Chronobiology Research group  has a 3-year PhD position in the field of Machine learning for understanding mental health interventions.
The Norwegian Open AI Lab  and Data and Artificial Intelligence group (DART) also has one 3-year (or 4-year with optional academic duties) PhD position on the same project, follow this link to apply for the position.

The two positions are listed separately but are both part of a research collaboration between the Department of Computer Science and the Department of Mental Health at NTNU and St. Olav’s hospital in Trondheim, Norway. In this collaboration we aim at conducting interdisciplinary research towards developing methods for personalized treatments. We have an open and interactive research environment with PhD Candidates, Postdoctoral Fellows and professors working together on novel concepts on how to utilize technology in societal challenges. 

This PhD Candidate will work on unique mental health datasets that have been collected in previous Randomized Controlled Trials. During the project, the candidate will develop models using machine learning methods to predict and explain the responders/non-responders to treatment. The work will be conducted in an interdisciplinary team with a goal to use the resulting models supporting decisions on whether the treatment is promising. A second dataset on the monitoring of movement will be made available during the project and can be explored by the candidate.

We anticipate the starting date for the candidate to be during spring semester 2023. For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.