Research Assistants are normally students, in a University of Winnipeg undergraduate program, employed to assist with tasks related to research. Work is performed within defined guidelines and under supervision of a more senior researcher or faculty member.
Position Overview:
In this project the research assistant will be using machine learning models to assess the presence and severity of Fusarium headblight (FHB). FHB is a fungal disease that causes loss in yield in Wheat fields. The assistant will develop and evaluate these models on image-data that has been collected by TerraByte's data rover from test plots in Morden, Manitoba.
Duties:
- Writing of scientific reports
- Presentation of results to peers and project holders
Qualifications:
- Academic Major in Applied Computer Science
- Completion of ACS-4953 Introduction to Machine Learning
- Completion of ACS-3953 Introduction to AI
- Completion of ACS-2112 Scientific Computing with Python
- Knowledge of deep machine learning object detection models such as YOLO, and corresponding evaluation metrics
- Knowledge of training machine learning models on GPU-servers
- Knowledge of Unix, SSH, SFTP, Docker
- Knowledge of image processing
- The ideal candidate has experience in automated plant disease assessment using digital tools
Condition(s) of Employment:
- Must be legally entitled to work in Canada.
The period of work will be from July 15, 2026 - December 15, 2026 and the estimated total hours of work will be 150 hours.
Note: This position is represented by the Public Service Alliance of Canada - Research Capacity Unit.
Note: The work described in this posting will be conducted in-person.
The University of Winnipeg is committed to equity, diversity and inclusion and recognizes that a diverse staff and faculty benefits and enriches the work, learning and research environments, and is essential to academic and institutional excellence. We welcome applications from all qualified individuals and encourage women, racialized persons, Indigenous persons, persons with disabilities, and 2SLGBTQ+ persons to confidentially self-identify at time of application.
The University of Winnipeg is committed to ensuring employment opportunities are accessible for all applicants. If you require accommodation supports during the recruitment process, please contact [email protected].
The personal information of applicants is collected under the authority of the University of Winnipeg Act and 36(1)(b) of the Freedom of Information and Protection of Privacy Act. All personal information collected via the recruitment process is used to assess the applicant’s suitability, eligibility, and qualifications for employment, and to otherwise support recruitment activities. This information will be provided to participating members of the recruitment process. Questions regarding the collection of your personal information may be directed to the Director, HR Services, 515 Portage Avenue, Winnipeg, MB, R3B 2E9 or [email protected].
