Student Research Assistant - School of Mathematical and Computational Sciences - Faculty of Science

Competition Number:
68S23
Position Type:
Student Position
Closing Date:
Date of Posting:
Department:
School Mathematical and Computational Sciences - Faculty of Science
Position:
Student Research Assistant
Contract:
Hours of Work:
Up to 30 hours per week
Salary:

$16.10 per hour, plus 4% vacation pay

Term:

ASAP to August 11, 2023

The School of Mathematical and Computational Sciences is seeking one student Research Assistant to assist with a funded project to explore the use of Machine learning in enhancing the existing wellness tools to support the mental health.

RESPONSIBILITIES:

  • This project is focused on the existing wellness tools being used in the industry to support the mental health of employees within client organizations. To achieve this, the existing solutions employ data collection and analysis techniques to identify key factors influencing employees' mental well-being. By suggesting activities and routine adjustments, these tools aim to promote good mental health, benefiting both the individual employee and the overall productivity of the client organization
  • This project aims to enhance the existing system by defining distinct mood categories, refining the data collection process through the inclusion of mood-centric questions, and leveraging machine learning techniques to associate specific activities with different mood categories. By employing machine learning models, the project seeks to proactively suggest preventive measures that help employees maintain positive moods within acceptable ranges
  • The refined data collection process and machine learning models will empower employees to make informed decisions and engage in activities that promote their well-being
  • Ultimately, the project endeavors to foster a positive work environment that prioritizes mental health while simultaneously driving productivity within client organizations

QUALIFICATIONS:

  • Student enrolled in a program at UPEI
  • In-depth knowledge Data Science techniques and algorithms that can be demonstrated by the student’s performance in the Data Science and/or Machine learning course(s)
  • Student with strong background in Mathematical analysis, and web- and app-development
  • Knowledge of using Python libraries to analyze the collected user data using machine learning techniques

Priority will be given to University of Prince Edward Island students in accordance with Recruitment, Selection, Hiring and Employment Policies and the Procedures manual.

 

Application Instructions:

Please submit electronically a cover letter, quoting the competition number, a resume and reference list to be received no later than the closing date via the link posted on the UPEI Human Resources website. Applications will not be accepted via email.

If you are unable to apply online, you can drop off your resume to the Human Resources Department, Kelley Building, University of Prince Edward Island, 550 University Avenue, Charlottetown, PEI C1A 4P3, Fax Number (902) 894-2895.

UPEI is committed to equity, diversity, inclusion, and reconciliation and believes in providing a positive learning and working environment where every person feels empowered to contribute. UPEI is committed to the principle of equity in employment and encourages applications from underrepresented groups including women, Indigenous peoples, visible minorities, persons with disabilities, persons of any sexual orientation or gender identity, and others with the skills and knowledge to productively engage with diverse communities. If you require accommodation in any part of the process, please direct your inquiries, in confidence, to our HR Officer, hrofficer@upei.ca.

Only those applicants who are invited to an interview will be acknowledged.

UPEI encourages all qualified applicants to apply for job openings; however, in keeping with the terms and provisions of the university’s various employment and collective agreements, first priority will be given to internal candidates.