Student Assistant - DICE Multiple projects

Job Content (SDF) Details Job Content (SDF) Details Competition Number P17787 Posting Title Student Assistant - DICE Multiple projects Classification Unclassified Location Saskatchewan Polytechnic Saskatoon Campus Other Location(s) Building Saskatoon Campus, Idylwyld Dr. Other Building DICE - Innovation Place Date Posted 08/21/2026 Closing Date 09/01/2026 JIQ # Start Date 09/01/2026 End Date 12/31/2026 Open Until Filled No Ongoing No Category of work To Be Assigned Bargaining Unit Research/Unclassified Hours of Work To be Assigned Salary Range As per Unclassified Wage Grid Temporary Market Stipend Incumbent Total Assigned days (AC) / Total Hours per biweekly pay To be assigned. Posting Status Open Special Instructions to Applicants Saskatchewan Polytechnic considers the diversity of our workforce to be one our leading strengths and greatest assets. Our employee diversity enhances our ability to meet the needs of an increasingly diverse student population. Currently, approximately 20% of our students are Indigenous. A continued emphasis on the development of a representative workforce is one of Sask Polytech’s strategic priorities and, as an organization, we are making significant efforts to attract and retain Indigenous employees. Job Duties Job Duties/Qualifications, Skills and Abilities(QSA) Job Duties The Student Research Assistant works collaboratively with various industry partners/clients to help with their digital needs. This position reports to a Research Manager, however Student Research Assistant will be a part of a project where additional direction may be provided by different Senior Researchers or Research Managers. A Student Research Assistant, works closely with peers to perform literature reviews, write research reports, as well as perform technical needs of the project which may include programming, installing software, creating datasets, cleaning data, and tuning machine learning models. Programming software solution prototypes as defined by our partners/clients. Conducting research and literature reviews. Preparing equipment/materials for field/laboratory operations. Data gathering/entry and maintaining integrity of data collected. Collate data collected and perform preliminary data analysis. Assist in the preparation of project documentation, including proposal progress reports, technical reports, and user manuals as required. Adhere to non-disclosure agreements. Adhere to all relevant field/laboratory safety precautions. Perform general field/laboratory equipment maintenance duties. Work with others in fostering a cooperative and supportive team environment. General laboratory duties Qualifications, Skills, Abilities And Experience Specific Accountabilities Duties Required Qualifications, Skills and Abilities (QSA) Must be a student or recent grad. Minimum of completed or currently completing diploma in Computer Science or a related discipline. Preference will be given to candidates with direct experience in AI and ML. Effective problem-solving skills. Effective interpersonal and communication skills. Organizational and time management skills. Ability to work within a team environment. Respects and values diversity. WHMIS and laboratory safety trained or willing to obtain this training. Desired QSA Required Competencies Posting Supplemental Questions Required fields are indicated with an asterisk (*). * How did you hear about this position? Saskatchewan Polytechnic Careers Site Newspaper LinkedIn Workopolis SaskJobs.ca Social Media Personal Referral Other If you answered 'Other' above, please specify source here: (Open Ended Question) Applicant Documents Required Documents Resume Optional Documents Cover Letter List of Reference Contacts

The Student Research Assistant collaborates with industry partners to develop digital solutions, including programming prototypes and tuning machine learning models. They are also responsible for conducting literature reviews, gathering data, and preparing technical project documentation.

Candidates must be a student or recent graduate with a diploma in Computer Science or a related discipline. Preference is given to those with direct experience in AI and ML, as well as strong communication and organizational skills.

• Time managementPreferred
• TeamworkPreferred
• Problem solvingPreferred
• Data analysisPreferred
• Machine learningPreferred

Identified from the job description. Confirm important requirements above.

• Programming
• Machine Learning
• Artificial Intelligence
• Literature Review
• Data Cleaning
• Data Analysis
• Technical Writing
• Problem Solving
• Interpersonal Communication
• Time Management
• Teamwork
• WHMIS

• Science & Research
• Technology
• Software
• Data & Analytics
• Education

Minimum education

College diploma

Minimum experience

0+ years

Apply by

Sep 21, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Entry level