Probationary (Tenure-track) position in Data Science
Number of Openings
The successful candidate will be an innovative researcher with a demonstrated ability to both develop statistical methodology and to apply, in a meaningful way, statistical data science to important problems. They will have research accomplishments that are recognized for having made an impact as evidenced by publications in highly regarded journals, including research publications related to novel methodological developments in statistical science and data science/analytics as well as impactful publications involving data-driven applications in other subject areas. As an emerging leader, they must have demonstrated success in obtaining external funding appropriate to their career stage, such as graduate-level scholarships or external research funding. The successful candidate will be expected to teach and supervise/train highly qualified personnel including graduate students in the Department’s MSc and PhD programs. They will provide leadership for the undergraduate
Data Science program of the Department, be actively involved in the Faculty of Science’s
Data Analytics professional graduate program and in the recently introduced Data Science
courses offered to our campus community. Consequently, it is essential for the successful candidate to have a record of developing and delivering timely, high-quality courses related to statistics, data science and analytics that is commensurate with their career stage. The successful candidate must have a PhD in Statistics or a very closely related area at the time of the application and possess excellent communication skills. Distinct assets would include teaching experience in data science/analytics programs, experience with professional graduate programs, post-doctoral experience, a record of graduate supervision and demonstrated successes as a team member on collaborative, multidisciplinary research projects. All of these required attributes will be evaluated based on the carrier stage of candidates.
How to Apply
Application Deadline: 23/07/2021
Three letters of reference, at least one of which include detailed comments on the candidate’s teaching abilities, will be required for shortlisted applicants. Candidates should submit a curriculum vitae, one-page teaching statement, one-page statement listing experience or interest in professional and/or leadership programs, two-page research plan, and contact details of at least three referees to the address below:
Professor Kristina Sendova, Chair Department of Statistical and Actuarial Sciences The University of Western Ontario London, Ontario N6A 5B7, Canada Email: [email protected]
Please ensure that the form available at:
is completed and included in your application submission.