Posted:
2/15/2026, 1:04:36 PM
Location(s):
Charlotte, North Carolina, United States ⋅ North Carolina, United States ⋅ Ottawa, Ontario, Canada ⋅ Ontario, Canada
Experience Level(s):
Junior ⋅ Mid Level
Field(s):
Data & Analytics
Workplace Type:
Remote
Posting Reason:
New PositionLocation:
Main CampusSession:
2026 Spring/Summer Semester | Trimestre printemps/étéFaculty:
Faculté des arts / Faculty of ArtsUnit:
Department of Geography, Environment and Geomatics_Part Time ProfessorsCourse Title:
Spatial Data ScienceCourse Code:
GEG4120Section:
A00Course Description:
Spatial data science is useful in many fields, including big data, population health sciences, biological sciences, earth sciences, medicine, engineering and social sciences. In this course, you will learn how to manipulate, analyze and model spatial data. Sections of the course focus on stochastic simulation and Monte Carlo methods in point-pattern analysis, spatial autocorrelation and geostatistics. Practical applications utilize the open-source software and data science computing languages (e.g. R, Python), no previous experience required. At the end of this course, you will have a toolbox of spatial analytical skills and a solid understanding of their appropriate applications to real-world questions.Posting limited to:
Professeur à temps-partiel étudiant / Student Part-Time ProfessorDate Posted (YYYY/MM/DD):
2026/02/16Applications must be received BEFORE (YYYY/MM/DD):
2026/03/19Expected Enrolment:
20Approval date:
2026/02/16Number of credits:
3Work Hours:
39Hourly Rate:
Enseignement / Teaching: $239.47 (2024-2025)The academic year starts on September 1 and ends on August 31.
These rates do not included vacation pay nor statutory pay.
These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.
Course type:
DPosting type:
Régulier / RegularLanguage of instruction:
Anglais | EnglishCompetence in second language:
N/ACourse Schedule:
Mardi | Tuesday 14:30-17:30 Jeudi | Thursday 14:30-17:30 -Requirements:
Requirements
M.A. or M.Sc. in geography, environmental studies, or related discipline. Experience with GIS, remote sensing, spatial data analysis, and programming for geospatial data processing. An acceptable level of education/experience could be viewed as being equivalent to the educational requirement and/or demonstrated experience
Course and exam dates
Course: June 22 to July 31
Exam: August 4 to 6
Additional Information and/or Comments:
An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law.
The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more.
The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact [email protected] to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.
Website: https://uottawa.ca/
Headquarter Location: Ottawa, Ontario, Canada
Year Founded: 1848
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