The Student Research Assistant will develop data fusion algorithms for health monitoring and patient clinical outcome prediction using clinical data. The Student Research Assistant needs to attend weekly meetings with mentor, report progress and discuss technical issues. Required Qualifications Little to minimal prior experience. Ability to learn departmental processes. Familiarity with Microsoft Office Suite. Desired Qualifications Strong problem solving skills Excellent written and oral commun... more details
Student Research Assistant
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Posting Details
Student Title Classification Information
Quick Link
https://chapman.peopleadmin.com/postings/34521
Job Number
SE43324
Position Information
Department or Unit Name
Fowler School of Engineering
Position Headcount
1
Position Title
Student Research Assistant
Academic Year
Academic Year 2024-25
Term or Semester
Summer - Fall
Is this Role for an Undergrad or Grad Student?
Undergrad
Anticipated Pay Range
$18.00 - $18.00
Pay Range Information
Chapman University is required to provide a reasonable estimate of the compensation range for this position. This range takes into account a variety of factors that are considered in making compensation decisions, including experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. Salary offers are determined based on the final candidate’s qualifications and experience, as well as internal equity and other internal factors. The anticipated pay range is not a promise of a particular wage.
On which Campus will this work be done?
Orange
Approved Supervisor
Yuxin Wen
Supervisor Email
yuwen@chapman.edu
Scheduling
Please use dates within Chapman Academic Calendar
(https://www.chapman.edu/academics/academic-calendar.aspx)
Desired Start Date
06/28/2024
Projected End Date
12/31/2024
Average number of hours per week
Up to 40 hours/Summer Only
Position Summary Information
Job Description Summary
The Student Research Assistant will learn machine learning methodologies, and develop algorithms for health monitoring and patient clinical outcome predictions. The research assistant needs to attend the weekly meeting with mentor, report progress and discuss technical issues.
Responsibilities
The Student Research Assistant will develop data fusion algorithms for health monitoring and patient clinical outcome prediction using clinical data. The Student Research Assistant needs to attend weekly meetings with mentor, report progress and discuss technical issues.
Required Qualifications
Little to minimal prior experience. Ability to learn departmental processes. Familiarity with Microsoft Office Suite.
Desired Qualifications
Strong problem solving skills
Excellent written and oral communication
Special Instructions to Applicants
Budget Information
Is Federal work-study required?
With or Without FWS
Pre-screening Questions
Required fields are indicated with an asterisk (*).
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