APTPUO-Fall 2025-DTI 5126 F

200 Lees Block E, Canada

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Location:

Main Campus

Session:

2025 Fall Semester | Trimestre d'automne

Faculty:

Faculté de génie / Faculty of Engineering

Unit:

School of Engineering Design and Teaching Innovation_PT

Course Title:

Internet Technologies and Mobile Commerce

Course Code:

DTI 5126

Section:

F

Course Description:

Posting limited to:

Professeur à temps-partiel régulier / Regular Part-Time Professor

Date Posted:

May 21, 2025

Applications must be received BEFORE:

June 21, 2025

Expected Enrolment:

75

Approval date:

May 21, 2025

Number of credits:

3

Work Hours:

39

Course type:

B

Posting type:

Régulier / Regular

Language of instruction:

Anglais | English

Competence in second language:

Passive

Course Schedule:

Lundi | Monday 11:30-13:00 Jeudi | Thursday 13:00-14:30 -

Requirements:

Priority will be given to applicants who are completing or have completed a PhD in Digital Transformation and Innovation, Computer Science, or a closely related field. The applicant should have hands-on experience in end-to-end data science workflows, including problem formulation, data acquisition, preprocessing, modeling, and result communication within the context of real-world business applications. Additionally, the applicant must have substantial experience using modern data science tools and programming languages, including Python or R, as well as working knowledge of environments such as Jupyter and RStudio. Familiarity with machine learning methods, both supervised and unsupervised, is essential, along with demonstrated application of these methods in domains such as finance, marketing, or supply chain analytics.

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 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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Computer Science Engineering Finance Jupyter Machine Learning PhD Python R Research Teaching

Region: North America
Country: Canada

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