(posted 2020/11/18, listed until 2021/01/05)
*** the list date or deadline for this position has passed and new applications are no longer being accepted. ***POSTDOCTORAL POSITION
IN PROBABILITY or DATA SCIENCE One or more postdoctoral fellow positions in Probability or Data Science are currently available in the Department of Statistics and Actuarial Science at the University of Waterloo.
The postdoctoral fellow is expected to work with Professor Aukosh Jagannath on mathematical data science, or statistical physics. Potential topics may include: statics or dynamics of disordered media (e.g., spin glasses), fundamental and computational limits in high-dimensional statistics, machine learning, or random optimization problems.
Appointments are typically two years, with an initial contract of one year and a renewal for the second year based on mutual agreement subject to available funding. Teaching is not mandatory for this position, and the postdoctoral fellow may have the opportunity to teach no more than one course in Statistics or Actuarial Science per academic year based on teaching qualifications. The starting date of the positions is flexible, and applications will be reviewed on a rolling basis.
The University of Waterloo has a large group of active researchers in Data Science, Mathematical Physics, Machine Learning, and Statistics who may offer postdocs opportunities. Applicants who are interested in working with other professors in the Department of Statistics and Actuarial Science can also apply through this link by mentioning in the cover letter who they would like to work with.
Applicants are expected to hold a Ph.D. degree in Mathematics, Statistics, Physics, or a related area.
Applicants are asked to submit: a cover letter, a CV, a research statement describing current and past research, and a teaching statement. The applicant should request at least three letters of recommendation and one letter addressing teaching, uploaded by their authors at mathjobs.org.
The University of Waterloo regards
diversity as an integral part of academic excellence and is committed to
employment equity and accessibility for all employees. As such, we encourage
applications from women, Indigenous (First Nations, Métis and
Inuit) peoples, persons with disabilities, members of diverse gender
identities, and others who may contribute to the further diversification of
ideas. At Waterloo, you will have the opportunity to work across disciplines
and collaborate with an international community of scholars and a diverse
student body, situated in a rapidly growing community that has been termed a
“hub of innovation.” All qualified candidates are encouraged to apply; however,
Canadians and permanent residents will receive priority in the recruitment
process. Three reasons to apply: https://uwaterloo.ca/fauw/why. |
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