Jobs Companies Worcester Polytechnic Institute Post-Doctoral Fellow

Über diese Post-Doctoral Fellow Stelle bei Worcester Polytechnic Institute

Worcester Polytechnic Institute · Vor Ort · Worcester

JOB TITLE

Post-Doctoral Fellow

LOCATION

Worcester

DEPARTMENT NAME

Computer Science - NFR JM

DIVISION NAME

Worcester Polytechnic Institute - WPI

JOB DESCRIPTION SUMMARY

One opening is available now for a postdoctoral researcher who will apply machine learning to predict clinical pain related outcomes, participate in an ongoing clinical trial, and assist with app development. The project is sponsored by a National Institutes of Health grant aimed at using machine learning to identify biopsychosocial predictors of the response to a mindfulness intervention for chronic low back pain. The postdoc researcher will be mentored closely while being granted their own freedom of pursuing new research ideas, providing that the progress on the sponsored project is satisfactory. The training of the postdoc will benefit from sophisticated methods development on multidisciplinary research topics, extensive interaction with academic and clinical researchers, and exposure to clinical trial processes and execution. In addition, the postdoc will be able to network with both academic and clinical researchers.

JOB DESCRIPTION

Responsibilities:

The specific job responsibilities include research activities and writing reports and publications. The postdoc is expected to lead research activities, including multimodal data integration and pre-processing , development and validation of predictive machine learning models, communication of the machine learning results to a multidisciplinary team of computational and clinical experts, collaboration on the interpretation of the results in the context of clinical medicine, and preparation of manuscripts for publication. They should be interested in health related research, clinical trials, and app development.

Requirements:

The requirements for the candidates include:

  • A PhD in Computer Science or in a related computational field.
  • Substantial training in and knowledge of machine learning techniques and strong programming skills.
  • Effective communication in English, both orally and in writing, and ability to interact with multidisciplinary teams.
  • The ideal candidate would have demonstrated interest in and experience applying machine learning to clinical medicine or healthcare.
  • Interest in clinical trials and app development.

The existing funding is for one year with a high likelihood of continuing after the first year depending on performance.

To apply please include:

  • Cover Letter
  • CV
  • Contact information of 3 referees

Position is open until filled.

Compensation: $65,000 -$75,000.  This position is supported through external funding.

FLSA STATUS

United States of America (Exempt)

WPI is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. It seeks individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making. It is committed to maintaining a campus environment free of harassment and discrimination.

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Über Worcester Polytechnic Institute

About WPI Worcester Polytechnic Institute (WPI) is a vibrant and diverse community of extraordinary students, talented and dedicated staff, and world-renowned faculty. Along with its state-of-the-art research facilities, WPI offers competitive and comprehensive employee benefit programs, including paid time off, health insurance, life and long-term disability insurance, retirement savings plans, tuition assistance, flexible spending accounts, and a working environment that prioritizes mental health and well-being. It is a community committed to civility and respect—making inclusion and belonging a reality for everyone on its campus.

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