GIS Research Assistant

Requirements

• Required: ArcGIS/ArcMap (10.0)
• GEOG 201 Introductory Geo-Information Sciences
• GEOG 307 Socioeconomic Applications of GIS
• Assets: GEOG 306 Raster Geo-Information Science
• Adobe Photoshop
• Adobe Illustrator
• Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located.
• McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing.
• Hourly Salary:
• $22.00
• Hours per Week:
• 10 (Part time)
• Location:
• Peterson Hall
• Supervisor:
• Professor
• Position Start Date:
• 2026-06-12
• Position End Date:
• 2026-12-31
• Deadline to Apply:
• 2026-06-26
• This position is covered by the Association of McGill University Research Employees (AMURE) collective agreement.

Benefits

Additional Information

Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). Position Summary: The Indian Ocean World Centre (IOWC) at McGill is seeking a student to assist with research related to environmental factors (such as natural disasters) and exchange of commodities, ideas and people across the Indian Ocean World, notably during the nineteenth and twentieth centuries. The ideal candidate will have a full understanding of ArcGIS/ArcMap (10.0); be capable of georeferencing and rectifying maps through transformations, digitizing data from various source materials (textbooks, atlases, written descriptive publications); possess a full understanding of the edit toolbar; be capable of accurately generalizing data without compromising integrity; be capable of finding data independently from dependable sources; be able to produce point layers from Excel files; and have an understanding of output size and resolution for printing.

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