We invite applications from talented scholars for one of two tenure-track positions at the assistant professor level in artificial intelligence and machine learning, with a focus on reinforcement learning and online learning, natural language processing including large language models, or computer vision to commence July 1, 2025.
The applicant should have a demonstrated research record in employing advanced AI or ML techniques.
Candidates must have a PhD in Computer Science or equivalent field or be within one year of completion, and a demonstrated record of research accomplishment, including publications in top international venues (such as NeurIPS, AAAI, ACL, or CVPR) as well as a clear plan for developing an outstanding research program.
Applicants must have a commitment to teaching AI courses at the undergraduate and graduate level and be able to teach a variety of courses at the undergraduate level.
Evidence of prior teaching experience is preferred.
Applicants should provide a plan for graduate student supervision, with prior experience in supervising or mentoring students considered an asset.
Applicants must display the required professionalism to operate in a collegial academic environment, with evidence of collaboration considered an asset.
To be considered, please submit a completed application package including a cover letter that addresses the full scope of the job requirements, along with your curriculum vitae, research statement and up to three selected relevant publications, teaching statement, syllabi, evaluation data, an Equity, Diversity and Inclusion (EDI) statement, and contact information for three references at https://academicjobsonline.org/ajo/jobs/28269, addressed to the Recruiting Committee Chair.
Application packages must be received by October 13, 2024.
The cover letter should clearly identify how your experience and research plan address the topic area above.
The research statement should summarize research achievements and impact and propose a credible plan for future research.
The EDI statement should briefly describe your experience with addressing EDI and/or how you plan to contribute to the EDI goals of the Department (see https://www.uvic.ca/ecs/about/equity-action-planning/index.php).
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