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Research and Teaching Fellow (Post-Doctoral or ABD)

Multiple Research Positions for Scholars Displaced by Conflict - Analytics + AI Ecosystem

Humanity is facing the highest levels of displacement on record. As a result, Smith School of Business and Queen’s University are increasing their support for students, post-doctoral fellows, and faculty members forcibly displaced by conflict, political instability, violence, and persecution. The position listed here is part of this initiative.

Job Title: Research and Teaching Fellow (Post-Doctoral or ABD)

Department: Analytics + AI Ecosystem

Supervision and Academic Unit: [primary supervisor] Dr. Anton Ovchinnikov, Smith School of Business, [co-supervisors] faculty at Smith or other schools/departments at Queen’s depending on the project topic.

Description of Area or Topic of Research:

The Management Analytics area and the Analytics + AI Ecosystem at Smith School of Business at Queen’s University invites applications for multiple Research Fellow positions open for scholars displaced by conflict (including, but not limited to that currently unfolding in Ukraine). The candidates who have a PhD or equivalent will be assigned to the Post-Doctoral Fellow category; those who have largely completed their doctoral studies but have not defended (due to conflict) will be assigned to the ABD Research Fellow category.

Qualifications

The position is open to any researcher whose work fits under the broad umbrella of Management Analytics and AI. Our ecosystem includes scholars from the Smith school, as well as from multiple other departments at Queen’s (including Computer Science, Medicine, Engineering, and Law) who work on a variety of topics; some specific examples include:

  • Dynamic pricing and revenue management (e.g., Profs. Guang Li, Jue Wang, Murray Lei, Anton Ovchinnikov, and others)
  • Supply chain management (e.g., Profs. Arcan Nalca, Anton Ovchinnikov)
  • Service operations (e.g., Profs. Raga Gopalakrishnan, Elaheh Fata)
  • Customer analytics (e.g., Profs. Ceren Kolsarici, Jue Wang, Anton Ovchinnikov)
  • People analytics (e.g., Profs. Matthias Spitzmuller, Anton Ovchinnikov)
  • Sustainability and ESG matters (e.g., Prof. Anton Ovchinnikov)
  • “AI for Good” broadly defined (e.g., Profs. Tina Dacin, Anton Ovchinnikov)
  • Data, Technology and Privacy (e.g., Prof. Murray Lei)
  • Text analytics (e.g., Prof. Stephen Thomas)
  • Human-AI interface and collaborations (e.g., Profs. Tracy Jenkin, Anton Ovchinnikov)
  • Robotics and Industry 4.0 (e.g., Prof. Joshua Marshall)
  • Legal analytics (e.g., Profs. Samuel Dahan, Anton Ovchinnikov)
  • Healthcare analytics (e.g., Prof. Amber Simpson)

The specific project topic and scope will be determined by the match between the candidate’s interests and those of the respective supervisor(s). It is envisioned, however, that the candidate’s work will involve building formal mathematical models for the selected situation, and possibly extending it to empirical and experimental analyses. The work may involve collaborating with MSc and/or PhD students.

This position will require the ability to work independently as well as in teams and to communicate effectively with a variety of project stakeholders both internal and external to Smith. The ability to communicate technical material effectively to a broad audience as well as the ability to set goals, track progress and prioritize as necessary to meet the deadlines are highly desired. The position requires proficient use of the English language (both written and oral). 

The position will primarily focus on research but may also involve teaching-related tasks in our undergraduate and graduate programs.

Compensation

CAD $63,500. Additional funding pending.

Start Date and Duration of Appointment:

Start date is negotiable; 1-year term, initially, with a possible extension depending on funding and research progress. Successful applicants will have the ability to obtain appropriate documentation to be entitled to work in Canada legally.

Equity Statement

EMPLOYMENT EQUITY: The University invites applications from all qualified individuals. Queen's is strongly committed to employment equity, diversity, and inclusion in the workplace and encourages applications from Black, racialized/visible minority and Indigenous/Aboriginal people, women, persons with disabilities, and 2SLGBTQ+ persons.

ACCOMMODATION IN THE WORKPLACE: The University has policies in place to support its employees with disabilities, including an Accommodation in the Workplace Policy and a policy on the provision of job accommodations that take into account an employee's accessibility needs due to disability. The University will provide support in its recruitment processes to applicants with disabilities, including accommodation that takes into account an applicant's accessibility needs. If you require accommodation during the interview process, please contact Daniel McBride at daniel.mcbride@queensu.ca tel. 613.533.3298.

We thank all those applicants who express interest and apply to our posted position; however, we will only be contacting candidates who will progress to the next stage in the application process.

cc. PSAC Local 901, Unit 2 - info@psac901.org

How to Apply

Deadline for applications:

May 31, 2022

Applicants should submit:

  1. Curriculum vitae
  2. Published or working papers, Ph.D. thesis, or other sample of written work
  3. Cover letter, including a brief description of research interests, interest with research focus areas above, preferred start date, how this position will help advance your career goals, and description of how you fit the criteria of a scholar displaced by conflict.
  4. Teaching Dossier
  5. Graduate transcripts
  6. Two recommendation letters: have referees email Daniel McBride directly.

Application Deadline: Review of applications is open and will continue on a rolling basis. The first review will be on May 1, 2022, though applications submitted after this will still be considered until the position is filled. The decision(s) will be made quickly to facilitate the speedy re-location of the successful candidate to Kingston, Ontario, Canada. Application material can be emailed to Daniel McBride.

Submit your application to:

Daniel McBride
Associate Director
Analytics + AI Ecosystem
613.533.3298
daniel.mcbride@queensu.ca