This is a fully funded PhD position on AI and Machine Learning at the Centre for Applied Autonomous Sensor Systems (AASS, www.oru.se/aass) at Örebro University (www.oru.se), Sweden. This PhD position is funded by the Wallenberg Artificial Intelligence, Autonomous Systems and Software Program (WASP, wasp-sweden.org), which a Swedish national initiative.

The research topic for this PhD position is to devise and implement new artificial intelligence-based systems to monitor and asses the quality of life of citizens, with main focus on mental well-being. Target populations of this system include elderly people living independently, and people at risk of developing negative mental states (stress, anxiety, and depression), among others.

AI and Machine learning will be used to estimate in real time the mental well-being of people. This includes mood (happiness, sadness, sleepiness, etc), and negative states (stress, anxiety) in order to assess the potential risk for a depression of people during their daily life activities. Assessment will be based on data from different sources including sensors, activity patterns, mental assessment, daily agenda, and so on. New ways of data collection will also be researched. An important question to be answered will be what are the relevant data and the relevant moods when it comes to the assessment of mental well-being.

For more specific details on this PhD position and the application process, please visit the link:

Contact persons:

– Assoc. Prof. Oscar M. Mozos, email: oscar.mozos@@oru.se / omozos@gmail.com / www: sites.google.com/view/oscarmozos