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Worcester Polytechnic Institute
1 week ago
Post-Doctoral Fellow Worcester Polytechnic Institute in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
External funding supports the position; compensation is $65,000-$75,000; funding is available for one year with a high likelihood of continuation depending on performance.
Country
United States
University
Worcester Polytechnic Institute
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About this position
This postdoctoral opening at Worcester Polytechnic Institute sits in the Computer Science department and focuses on applying machine learning to clinically meaningful pain-related outcomes. The researcher will work on a project aimed at identifying biopsychosocial predictors of response to a mindfulness intervention for chronic low back pain, with direct relevance to ongoing clinical research.
The role combines computational research with real-world clinical collaboration. The postdoc will participate in an ongoing clinical trial, contribute to app development, and help build and validate predictive machine learning models using multimodal data. The work includes data integration and preprocessing, communicating results to a multidisciplinary team of computational and clinical experts, and interpreting findings in a clinical medicine context.
The position emphasizes both structured mentorship and research independence. The successful candidate will be closely mentored while also having room to pursue new research ideas, provided progress on the sponsored project remains strong. The environment offers extensive interaction with academic and clinical researchers, exposure to clinical trial processes and execution, and opportunities to network across both settings.
The project is supported by external funding from a National Institutes of Health grant, and the advertised salary range is $65,000-$75,000.
Funding details
External funding supports the position; compensation is $65,000-$75,000; funding is available for one year with a high likelihood of continuation depending on performance.
What's required
A PhD in Computer Science or a related computational field is required. The candidate should have substantial training in and knowledge of machine learning techniques, strong programming skills, effective written and spoken English communication skills, and the ability to work with multidisciplinary teams. Preference is given to candidates with demonstrated interest in and experience applying machine learning to clinical medicine or healthcare, as well as interest in clinical trials and app development.
How to apply
Submit a cover letter, CV, and contact information for three referees through the application link. The position is open until filled.
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Prepare your application
Review drafts and confirm requirements with the university.
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.