Closed - RA Opportunity: Assessing OER in Web & Cloud-based Distributed Systems
Research Assistant Opportunity
The Simon Fraser University Institute for the Study of Teaching and Learning in the Disciplines invites applications for a Research Assistant appointment for the Teaching and Learning Development Grant project, Open Textbook: Web & Cloud-based Distributed Systems. This project aims to expand knowledge about student learning needs beyond current course reading materials, and towards understanding the range of accessibility and learning needs that could be addressed by developing an open textbook for these courses. The appointment will start on April 15, 2022 (or earlier).
Research assistant responsibilities include:
• Assisting with the literature review;
• Assisting in creating surveys;
• Analyzing and summarizing survey and interview data;
• Performing quantitative and qualitative data analysis;
• Assisting with compiling the final report; and
• Attending meetings with the project team.
Required qualifications, skills, and experience:
• Experience conducting literature reviews.
• Experience in research instrument design such as creating surveys.
• Experience with data analysis and visualization.
• Experience with data entry and management.
• Excellent interpersonal skills, including strong oral and written communication skills.
• Ability to work independently, productively, and creatively.
• Current SFU undergraduate or graduate student.
Additional experience or skills that would be considered an asset:
• Current enrolment in an undergraduate or graduate program at SFU Faculty of Education, Computing Science, or Engineering Science.
• Interest in evidence-based teaching and learning, and education in computing science.
• Interest in and enthusiasm for using Open Educational Resources and Platforms in higher education.
Rate of pay: $24-$26/hr (including vacation and statutory holiday pay, no medical or dental benefits).
To Apply: Send an email to Dr. Ouldooz Baghban Karimi (ouldooz@sfu.ca) including (1) your resume, (2) your advising transcript, (3) the reason you are interested in this project, and (4) a 1-page cover letter structured to address the qualifications, role responsibilities, and previous applicable experience as listed above.
Note: References will only be requested from short-listed applicants.
Application deadline: March 23, 2022, 4:30 p.m.