Human-Computer Interaction for Healthcare IT
Computer Science
The student will help develop both patient-facing and clinician-facing interfaces to a diagnostic/assessment system for cognitive function. This system is based on statistics derived from machine learning, and some work in those areas is possible.
The student(s) will work with a larger team, attend periodic meetings to provide and receive feedback, and provide properly commented source code.
Time commitment
2-5 hours per week
3rd or 4th year, CS or ECE, CGPA >= 3.4. Proficiency in web-enabled technologies, including web security, js, or django. Database experience would be advantageous.
Positions available
1-2 positions available
Applications for 2018-2019 is now open! Pleae apply through the link below and send your transcript as a PDF to (Please attach your complete transcript from ACORN as a PDF file with filename: REX2018_FISTNAME_LASTNAME).

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