Part Time Python Jobs in Ontario (NOW HIRING)

Posting Reason:

New Position

Location:

Main Campus

Academic Period:

2026 Fall Semester

Faculty:

Faculte des arts / Faculty of Arts

Academic Unit:

Departement de geographie, environnement et geomatique \\ Department of Geography, Environment and Geomatics

Course Title:

Analyse et modelisation numerique de la Terre

Course Code:

GEG3712

Section:

A00

Course Description:

De nombreux problemes du monde reel, allant des effets du changement climatique sur les systemes naturels et sociaux a la determination des emplacements optimaux pour les centres d'inoculation virale, peuvent etre resolus en modelisant les donnees numeriques de la Terre dans des systemes d'information geographique (SIG). Dans ce cours, vous apprendrez a modeliser des scenarios du monde reel dans des flux de travail SIG qui mettent l'accent sur la validation du modele et la propagation des erreurs. Le cours se concentre sur les techniques formelles de modelisation cartographique et d'algebre cartographique via le codage Python, pour aborder des problemes du monde reel dans un cadre de prise de decision multicriteres. Les approches de modelisation comprennent la modelisation de l'adequation, la modelisation de logique floue, la modelisation a moindre cout, l'analyse de reseau, l'analyse de proximite, l'interpolation surfacique, la modelisation dasymetrique et pycnophylactique et enfin les techniques d'interpolation geostatistique. A la fin du cours, vous aurez un ensemble de competences geospatiales diverses et approfondies, utiles et recherchees pour une gamme d'opportunites de carriere.

Posting limited to:

Professeur a temps-partiel etudiant/ Student Part-Time Professor

Date Posted (YYYY/MM/DD):

2026/05/20

Applications must be received BEFORE (YYYY/MM/DD):

2026/06/22

Expected Enrolment:

45

Approval date:

2026/05/20

Number of credits:

3

Work Hours:

39

Hourly 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:

D

Posting type:

Regulier / Regular

Language of instruction:

Francais | French

Competence in second language:

N/A

Course Schedule:

Jeudi | Thursday 14:30-17:30 Mardi | Tuesday 11:30-13:00 - Le cours sera offert en presentiel

Requirements:

M.A. ou M.Sc. en geographie, etudes environnementales ou dans une discipline connexe. Experience des SIG, de l'analyse des donnees spatiales et de la programmation pour le traitement des donnees geospatiales. Un niveau acceptable de formation/experience peut etre considere comme equivalent a la formation requise et/ou a l'experience demontree.

Additional Information and/or Comments:

Laboratoire : mardi de 11h30 a 13h00

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 vra.affairesprofessorales@uottawa.ca 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.