Overview
The University of Oslo is offering two postdoctoral fellowships focused on machine learning applications in mental health care technology. This initiative aims to harness smartphone and wearable technology to develop a patient monitoring and support system. The project is part of the Research Council of Norway-funded INTROMAT initiative, which seeks to personalize treatment for mental health issues using adaptive technology.
Background & Relevance
The intersection of machine learning and mental health care is a rapidly evolving field. By leveraging advanced technologies, researchers aim to enhance patient outcomes through timely interventions based on real-time data. This research is crucial as mental health issues continue to rise globally, necessitating innovative solutions that can provide personalized care.
Key Details
- Fellowship Duration: 2 years
- Location: University of Oslo, Norway
- Project: INtroducing personalized TReatment Of Mental health problems using Adaptive Technology (INTROMAT)
- Salary Range: NOK 515,200 – 597,400 per year (approx. €52,500 − 61,000 / $59,200 − 68,700)
- Application Deadline: 1st September, 2019
- Full Announcement: Job Posting
Eligibility & Participation
Candidates must hold a PhD or an equivalent degree in computer science, particularly in machine learning or artificial intelligence. Strong programming skills and a solid understanding of human behavior tracking, sensor data analysis, and app development are essential. Collaborative skills will also be evaluated, given the project’s involvement with multiple national partners.
Submission or Application Guidelines
Interested applicants should submit their applications through the designated web page. Applications sent via email will not be accepted. Ensure that all required documents are prepared and submitted before the deadline.
Additional Context / Real-World Relevance
The integration of machine learning into mental health care represents a significant advancement in how we approach treatment. By utilizing data from smartphones and wearables, researchers can gain insights into behavioral patterns and mental health conditions, paving the way for more effective and personalized interventions. This work not only contributes to academic knowledge but also has the potential to improve the quality of life for many individuals.
Conclusion
These postdoctoral fellowships at the University of Oslo present a unique opportunity for researchers interested in the application of machine learning in mental health. Interested candidates are encouraged to explore this opportunity and apply, contributing to a vital area of research that can have a profound impact on society.
Category: PhD & Postdoc Positions
Tags: machine learning, mental health, postdoc, university of oslo, sensor data analysis, human behavior tracking, app development, collaboration
