Tenure-track position in the mathematics and statistics of machine learning Position: The Department of Mathematics and Statistics at McGill University invites applications for an Assistant, Associate or Full Professorship in the mathematical and statistical foundations of machine learning. Areas of particular interest include optimization, statistical machine learning, numerical analysis, and computational learning theory. However, excellent applicants from all areas of mathematics and statistics are encouraged to apply.
Selection Criteria: Candidates should have a doctoral degree in mathematics, statistics or a related field at the date of appointment and must have demonstrated the capacity for independent research of excellent quality. Selection criteria include research and teaching accomplishments, the potential for contribution to the Department's training programs at the graduate and undergraduate levels and contributions to the scholarly community in general.
Application procedure: Applications should be made through http://MathJobs.Org (Position ID: McGill-ML2018) and must include a curriculum vitae, a list of publications, a research outline, a teaching statement which includes an account of teaching experience, and at least four references (with one addressing the teaching record). Candidates are also encouraged to provide web links for up to three selected reprints or preprints, or to upload them to MathJobs.Org.
In exceptional circumstances the references may be emailed to ML2018.mathstat@mcgill.ca To ensure full consideration, complete applications including letters of reference should be received by December 16, 2018, but applications will be considered until the position is filled. All qualified applicants are encouraged to apply; however, in accordance with Canadian immigration requirements, Canadians and permanent residents will be given priority.