PhD Scholarship in Digital Phenotyping for Comorbid Mental Health

The Copenhagen Center for Health Technology located at the Technical University of Denmark has an opening for a fully funded PhD scholarship within digital phenotyping for comorbid mental health.

The purpose of this project is to research and identify important digital phenotypes for comorbid physical and mental health conditions, and to incorporate these in a real-time data collection and processing pipeline and data analytics setup for meaningful presentation to health professionals. The use case is to enable clinicians to monitor and identify at an early stage important digital phenotypes which indicate or predict comorbid physical and mental health problems.

This position requires skills in software engineering, mobile sensing, UX design, and health data science, including software development, mobile programming, sensor integration, distributed computing, and data processing using modern AI- and ML-based tools. Furthermore, a structured approach to research and strong communication skills in English in written and oral dissemination is core. Finally, since you will be spending time with a clinical team at the hospital, good collaborative skills and understanding of clinical work is also important.

From an academic point of view, you must have a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree in addition to a bachelor’s degree (180 ECTS points).

See the job announcement and apply online here.

Come to stay with us in Denmark and Copenhagen – repeatedly awarded as the most liveable city in the world.

Please submit your online application no later than 15 October 2022. Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link “Apply online,” fill in the online application form, and attach all your materials in English in one PDF file. Applications and enclosures received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.