The Department of Computer Science and Software Engineering seeks an outstanding candidate for a Canada Research Chair Tier II in the area of computing for the greater good. This is a research-intensive tenure-track faculty position and the appointment will be at the rank of Assistant Professor, but exceptional candidates at the Associate Professor level may also be considered. The successful candidate is an excellent emerging world-class researcher with demonstrated research creativity, a vision to establish an original and innovative research program of high quality and a drive to become an internationally recognized leader in their area of research in the next five to ten years. The candidate must demonstrate a potential to attract, develop and retain excellent trainees, students and future researchers. We seek individuals with expertise in research areas pertaining to computing for the greater good, including, but not limited to: bias in machine learning, game theory and mechanism design for social good, social network analysis, data science and privacy; and interest across the domains of computer science, economics, public policy, and sociology. Duties include research, teaching at both the graduate and undergraduate levels, and service to the institution.
Additional information: https://www.concordia.ca/ginacody/about/jobs/csse/2021/crc-tier-ii-computing-for-the-greater-good.html
All qualified candidates are encouraged to apply; however, Canadian and Permanent Residents will be given priority. To comply with the Government of Canada’s reporting requirements, the University is obliged to gather information about applicants’ status as either Permanent Residents of Canada or Canadian citizens. While applicants need not identify their country of origin or current citizenship, all applications must include one of the following statements:
Yes, I am a citizen or permanent resident of Canada
No, I am not a citizen or permanent resident of Canada.
Language of instruction | Langue d'enseignement:English
Position type | Type de poste:Research & teaching | Recherche et enseignement
Research and/or teaching fields | Domaines de recherche et/ou d'enseignement:computing for the greater good, bias in machine learning, game theory and mechanism design for social good, social network analysis, data science and privacy, computer science, economics, public policy, and sociology
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