Job Description

Post-Doctoral Fellow - Data-driven decision-making in Advertising Research

Tracking Code: req599

Faculty of Business and Information Technology

Number of Positions: 1

Appointment Type: Limited Term

Salary Grade: Administered in accordance with the Collective Agreement

Posting Date: June 12, 2023

Closing Date: June 26, 2023

The Business and AI lab is seeking a highly skilled candidate to join their team and work under the supervision of Dr. Salma Karray. The primary focus of this position is to advance research in data-driven decision-making in Advertising Research through the application of machine learning tools. The appointment for this role will be for twelve months, preferably starting in September 2023. The successful candidate will receive an annual salary of 40,000 CAD, along with benefits as determined by the at Ontario Tech University.

Responsibilities/Accountabilities:

• Develop analytical frameworks using artificial intelligence-based approaches for designing effective advertising campaigns.

Required Education:

• Ph.D. or equivalent in Business Analytics, Operations Research, Management Science, Computer Science, or a related field with a quantitative focus.

Required Experience:

• Demonstrated outstanding research background in Data Analytics or other related fields.
• Familiarity with Advertising research.
• Proficiency in using Machine Learning techniques.
• Familiarity with at least one programming language (Python or R).
• Ability to independently pursue work and collaborate with others to analyze complex issues.
• Strong written and verbal communication skills in English.

This position falls within the bargaining unit represented by the Public Service Alliance of Canada (PSAC) and will be subject to the terms and conditions of the collective agreement between the University and PSAC. The collective agreement may be found on the Human Resources section of our website. Candidates will be required to certify that they are currently legally eligible to work in Canada for the duration of the contract.

How to Apply:

Interested candidates should submit in electronic format a covering letter and their resume. Applications will be accepted until June 26, 2023 or until a suitable candidate is found. We appreciate all applications received; however, only those candidates selected for an interview will be contacted.

Ontario Tech University is an equal opportunity employer and welcomes applications from all qualified candidates, while especially encouraging applications from women, members of visible minorities, Indigenous peoples, persons with disabilities, and persons of any sexual orientation, gender identity, and gender expression. All qualified candidates are encouraged to apply; however, Canadian citizens, permanent residents and Indigenous Peoples in Canada will be given priority.

Ontario Tech University respects people\'s different needs and therefore will take all reasonable steps to ensure accommodation for applicants where appropriate. The University is also committed to ensuring that confidentiality is maintained throughout all aspects of the recruitment cycle.

If you require accommodation, please contact Health and Disability Management Specialist. For more information about the universities policies for accommodating employees with disabilities please review the university\'s .

The university acknowledges the lands and people of the Mississaugas of Scugog Island First Nation which is covered under the Williams Treaties. We are situated on the Traditional Territory of the Mississaugas, a branch of the greater Anishinaabeg Nation which includes Algonquin, Ojibway, Odawa and Pottawatomi.

Job Location: Oshawa, Ontario, Canada

Expected Start Date: 9/1/2023

Expected End Date: 9/1/2024

Ontario Tech University