Therapy for Mental Health; PhD, DTU Compute 1018 views

Project: In-situ and Personalized Cognitive Behavioural Therapy for Mental Health

DTU COMPUTE invites applications for 3 year fully funded PhD position expected to start in September 2016. The project is supported by the Innovation Foundation “the RADMIS project” and the Copenhagen Center for Health Technology (CACHET).

About the Project:

Uni-polar disorder (depression) and bipolar disorder (affective disorders) are common mental issues with lifetime prevalence. The RADMIS project’s goal is at combining cognitive behavioral therapy (CBT), smart phone-based monitoring and healing, and machine learning predictive methodology to develop outcome and welfare for patients with unipolar and bipolar disorders.

The main course of the research is divided into 5 main actions:

  • review of earlier art in terms of both a literature review and the study of existing online and mobile CBT systems and approaches
  • definition of technical structural plan: systems components, interfaces, protocols, dynamic behavior, data formats, runtime architecture, data management, storage, security
  • participatory design and development of a context-aware CBT platform for mental health in close collaboration with clinicians and patients
  • clinical proof-of-concept study (i.e. a non-randomized pilot test) of the platform with 20+ patients
  • scientific dissemination and preparation of PhD Thesis


  • Master’s degree in Computer Science, Informatics, Machine learning, Engineering, or equivalent.
  • Knowledge in document experience in human-computer interaction, ubiquitous computing, and pervasive healthcare will be preferred.
  • Proficiency in the English language is must.

Application procedure:

  • Applications must be submitted as *pdf file containing all documents.
  • Apply online; fill in the online application form, and attach all documents in English.
  • The file must include: cover letter, CV, Grade transcripts
—————Quick Overview————-
OrganizationTechnical University of Denmark (DTU)
Fellowship LevelPhD
Subject areas

Computer Science, Informatics, Machine learning, Engineering

Fellowship amountNot mentioned
EligibilityMaster’s degree
Deadline01 June 16

For more information contact: Jakob E. Bardram, e-mail:


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