Postdoctoral Fellow

5 days ago

Toronto, Canada Toronto Metropolitan University Full time

Department: Magnet
Position supervisor: Dr. Steven Liss
Contract length: 12 Months
Hours of work per week: 36.25
Position type: Post Doctoral Fellowship
Rate of pay: $85,000 per annum

About Toronto Metropolitan University (formerly Ryerson University)

At the intersection of mind and action, Toronto Metropolitan University is on a transformative path to become Canada’s leading comprehensive innovation university. Integral to this path is the placement of equity, diversity and inclusion as fundamental to our institutional culture. Our current academic plan outlines each as core values and we work to embed them in all that we do.

As an employer, we are working towards a people first culture and are proud to have been selected as one of Canada’s Best Diversity Employers and a Greater Toronto’s Top Employer for 2015, 2016, 2017 and 2018.

About the team

Housed at Toronto Metropolitan University, Magnet is a Centre of Innovation focused on the future of work. Magnet builds trusted partner networks and advances social innovation with tailored digital solutions for future-of-work challenges.

Magnet brings together technologies, creating an ever-evolving digital solution, that inclusively connects organizations and businesses with talent and opportunities. Collectively, we are driving positive workforce and economic development for Canada.

The opportunity

We are seeking a highly motivated and talented Postdoctoral Fellow to join our research team at Toronto Metropolitan University. This role offers a unique opportunity to contribute to cutting-edge research exploring the adoption and impact of AI on workers and communities. The study will investigate how generative AI technologies are reshaping industries, transforming workflows, and influencing socioeconomic outcomes. As part of this collaborative research team, you will engage with interdisciplinary experts, analyze emerging trends, and contribute to the development of key insights that will inform both academic and industry perspectives. This position provides an excellent platform for scholarly growth, networking, and contributing to research that can shape the future of AI in the workplace and society.

**Qualifications**:

- A PhD in Computer Science, AI, Data Science, Statistics, Economics or a related field, with a focus on artificial intelligence, machine learning, or human-computer interaction.
- Proven experience in conducting independent research, including a strong record of peer-reviewed publications in AI, generative models, or technology adoption studies.
- Familiarity with both quantitative and qualitative research methodologies, including data analysis and human-centered research approaches.
- Excellent communication skills, both written and verbal, with the ability to present complex ideas to both technical and non-technical audiences.
- Demonstrated ability to work collaboratively within interdisciplinary teams.
- A keen interest in the societal and economic impacts of AI on workers, industries, and communities.

How to apply
- Cover letter, detailing how your expertise is applicable to this position
- Curriculum Vitae
- Two samples of publications

Toronto Metropolitan University’s commitment to equity, diversity and inclusion
- Toronto Metropolitan University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA), and aims to ensure that independence, dignity, integration and equality of opportunity are embedded in all aspects of the university culture.
- We will provide an accessible experience for applicants, students, employees, and members of the Toronto Metropolitan University community. We are committed to providing an inclusive and barrier-free work environment, starting with the recruitment process. If you have restrictions that need to be accommodated to fully participate in any phase of the recruitment process, please reach out to Human Resources:

- Current employees can contact HR by logging into AskHR to submit a request.
- All information received in relation to accommodation will be kept confidential.

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