Overview
The University of Oslo is offering two postdoctoral fellowships in the field of machine learning, specifically aimed at enhancing mental health care technology. These positions are part of a broader initiative funded by the Research Council of Norway, focusing on the development of adaptive technologies that can provide timely interventions based on user behavior analysis.
Background & Relevance
Mental health care is an increasingly important area of research, particularly as technology continues to evolve. The integration of machine learning with mental health interventions can lead to more personalized and effective treatment options. This initiative aims to leverage on-body sensors and other technologies to capture and classify human behavior, ultimately improving mental health outcomes through timely support and interventions.
Key Details
- Fellowship Duration: 2 years each
- Location: University of Oslo, Norway
- Project Name: INtroducing personalized TReatment Of Mental health problems using Adaptive Technology (INTROMAT)
- Salary: NOK 515,200 – 597,400 per year (approx. €52,500 − 61,000 / $59,200 − 68,700)
- Application Deadline: 1st September, 2019
- Full Announcement: Postdoctoral Research Fellow in Machine Learning for Mental Health Care Technology
Eligibility & Participation
Candidates applying for these positions should possess a PhD or equivalent education in computer science, with a focus on machine learning or artificial intelligence. A strong programming background is essential, along with knowledge in human behavior tracking, sensor data analysis, and app development. Collaboration skills will also be evaluated, given the project’s involvement with multiple national partners.
Submission or Application Guidelines
Interested applicants must submit their applications through the designated web page, as applications sent via email will not be accepted. Detailed instructions for the application process can be found in the full announcement linked above.
Additional Context / Real-World Relevance
The intersection of machine learning and mental health care represents a significant frontier in both fields. By utilizing advanced technologies to analyze user behavior, researchers can develop systems that not only monitor mental health conditions but also provide proactive support. This research aligns with global trends towards personalized medicine and the increasing reliance on technology in healthcare.
Conclusion
These postdoctoral fellowships present a unique opportunity for researchers interested in applying machine learning to real-world mental health challenges. Interested candidates are encouraged to explore this opportunity and submit their applications before the deadline.
Category: PhD & Postdoc Positions
Tags: machine learning, mental health, postdoc, university of oslo, informatics, behavior modeling, sensor data analysis, adaptive technology
