The Faculty of Science at the University of Regina invites applications for nomination to a Tier 1 Canada Research Chair (CRC) in Computational Learning Theory in the Department of Computer Science.
The successful candidate must be an outstanding and innovative world-class researcher whose accomplishments have made a major impact in the field of Computational Learning Theory. The candidate must be recognized internationally as a leader in this field. They must have a superior record of attracting and supervising graduate students or postdoctoral researchers. As the chair, the successful candidate will be expected to attract, develop, and retain excellent trainees, students, and future researchers, and propose an original, innovative research program of the highest quality.
Candidates are required to hold a Ph.D. in Computer Science or a related field. Candidates are expected to be committed to excellence in the three pillars of academia (research, teaching, and service).
Candidates are required to provide a CV that demonstrates a strong research record via high-impact peer-reviewed publications on topics closely aligned with Computational Learning Theory, external funding for this research, supervision of graduate students or postdoctoral researchers, and international recognition for leadership and contributions to this field. Candidates are required to provide a seven-year research plan (up to five pages long) that has the potential to be supported by a Tier I Canada Research Chair. This plan should include details on a research agenda to develop and undertake innovative programs of research that are of the highest quality, to recruit and retain graduate students, and to secure external funding.
Applications should include a cover letter, a curriculum vitae, a summary of research achievements to date, a brief outline of the proposed research, and the names and contact information of three referees. Candidates must formally self-identify to be considered for the position.