Post-Doctoral Fellow - Computer Science

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.

To apply, visit: https://wpi.wd5.myworkdayjobs.com/en-US/WPI_External_Career_Site/job/Worcester/Post-Doctoral-Fellow_R0003347

About WPI
WPI is a vibrant, active, and diverse community of extraordinary students, world-renowned faculty, and state of the art research facilities. At WPI, we have competitive and comprehensive benefits, including health insurance, long-term care, retirement, tuition assistance, flexible spending accounts, work-life balance and much more.

Diversity & Inclusion at WPI
WPI is committed to creating an inclusive workplace where everyone feels valued and respected; a place where every student, faculty and staff member can be themselves, so that they can study, live, and work comfortably, to reach their full potential, and make meaningful contributions in order to meet departmental and institutional goals. WPI thrives on innovative practice and welcomes diverse perspectives, insight, and people from diverse lived experiences, to enhance the community environment and propel the institution to the next level in a competitive, global marketplace.





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