Statistical Learning Theory Faculty Position Toronto

Statistical Learning Theory Faculty Position Toronto

09 Nov
|
University of Toronto
|
Toronto

09 Nov

University of Toronto

Toronto

Take your research career forward as an Assistant Professor at the University of Toronto, specializing in Statistical Learning Theory, with a targeted start date of July 1, 2027. This full-time position seeks applicants with solid research and teaching credentials.The Department of Statistical Sciences prioritizes diversity and inclusion, encouraging applications from candidates representing a variety of backgrounds. Successful applicants must demonstrate research excellence, a successful teaching track record, and develop a collegial environment for a diverse student body. Responsibilities include leading cutting-edge research and fulfilling teaching duties.Key Responsibilities:
Initiate impactful, independent research in your field
Build a solid record of externally funded research




Supervise and mentor graduate and undergraduate students
Teach courses in Statistical Learning Theory to various audiences
Participate actively in department and university initiativesRequirements:
PhD in Statistics, Data Science, or a relevant discipline
Strong publication record in top-tier journals
Documented teaching experience with positive evaluations
Dedication to fostering diversity in academic settings
Recommendations from respected colleaguesBecome part of a progressive academic community at the University of Toronto.#J-18808-Ljbffr

📌 Statistical Learning Theory Faculty Position Toronto
🏢 University of Toronto
📍 Toronto

Reply to this offer

Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.

Subscribe to this job alert:

Get the latest job offers by email for: statistical learning theory faculty position toronto / toronto

Subscribe to this job alert:

Get the latest job offers by email for: statistical learning theory faculty position toronto / toronto