Overview
The University of Oslo is offering two postdoctoral fellowships aimed at advancing machine learning applications in mental health care technology. These positions are part of a significant project funded by the Research Council of Norway, which seeks to enhance patient monitoring and support through innovative smartphone and wearable technologies.
Background & Relevance
The integration of technology in mental health care is increasingly recognized as vital for improving patient outcomes. By utilizing smartphone sensors and other wearable devices, researchers aim to capture and analyze human behavior, providing timely interventions tailored to individual needs. This approach not only enhances the understanding of mental health conditions but also facilitates personalized treatment strategies, which are crucial in today’s healthcare landscape.
Key Details
- Fellowship Duration: 2 years
- Location: Oslo, Norway
- Project: INtroducing personalized TReatment Of Mental health problems using Adaptive Technology (INTROMAT)
- Website: INTROMAT Project
- Application Deadline: September 1, 2019
- Salary Range: NOK 515,200 – 597,400 per year (approx. €52,500 − 61,000 / $59,200 − 68,700)
- Application Link: Job Announcement
Eligibility & Participation
Candidates must hold a PhD or an equivalent qualification in computer science, particularly in machine learning or artificial intelligence. A strong programming background is essential, along with experience in human behavior tracking, sensor data analysis, and app development. Collaboration skills will also be evaluated due to the multi-partner nature of the project.
Submission or Application Guidelines
Interested applicants should submit their applications through the designated web page. Direct email submissions are not accepted. Ensure all required documents are included in your application to facilitate the review process.
Additional Context / Real-World Relevance
The application of machine learning in mental health care is a burgeoning field, with the potential to transform how mental health issues are monitored and treated. By leveraging advanced technologies, researchers can develop systems that not only track behavioral changes but also predict mental health fluctuations, leading to more effective and timely interventions.
Conclusion
This is a compelling opportunity for researchers interested in the intersection of technology and mental health. Those who meet the qualifications are encouraged to apply and contribute to this innovative project that aims to reshape mental health care through adaptive technology.
Category: PhD & Postdoc Positions
Tags: machine learning, mental health, human behavior, sensor data, app development, biologically inspired techniques, collaboration, Haukeland University Hospital, University of Oslo
