Assistant Professor Tenure Track Position in Statistics

The Department of Statistics at the University of British Columbia,
Vancouver invites applications from outstanding new investigators for
a tenure-track position at the rank of Assistant Professor in the area
of statistical machine learning and artificial intelligence (AI), with
an anticipated start date of July 1, 2023 or January 1, 2024.

This position is offered as part of a new, interdisciplinary research
cluster, AI Methods for Scientific Impact (AIM-SI) within UBC's Centre
for AI Decision-making and Action (CAIDA). CAIDA consists of over 100
researchers whose research leverages AI; AIM-SI is hiring 5 new
faculty members across three departments: Computer Science,
Mathematics, and Statistics. Those recruited will join over a dozen
existing researchers who are highly active in the core AI Methods
research community.

Candidates must have a Ph.D. in Statistics, Biostatistics, or a
related field and must demonstrate evidence of research success and a
high potential to be leaders in their research field. The successful
candidate should have a strong record of research productivity
commensurate with their experience and will be expected to develop an
independent research program in an area that complements existing
Department expertise and aligns with opportunities at UBC. The
successful candidate will be expected to effectively supervise
Statistics graduate students, collaborate with other faculty members,
obtain external funding, teach undergraduate and graduate Statistics
courses, and actively participate in departmental activities.

Candidates will have strong commitment to equity, diversity, and
inclusion and a commitment to creating a welcoming community where
those who are historically, persistently, or systemically marginalized
are treated equitably, feel respected, and belong.

The Department of Statistics is a leading international centre for
statistical science. Faculty members excel in both theory and methods
research as well as collaborative research with domain-area experts.
The Department hosts a vibrant graduate program as well as growing
undergraduate programs, with recent initiatives positioning the
Department as a hub for innovation in statistical education. The
Department is also home to the Applied Statistics and Data Science
Group (ASDa), which supports research and graduate-level training both
inside and outside the department. In conjunction with the Department
of Computer Science, the Department co-offers a Master of Data Science
and an undergraduate Minor in Data Science. As well, the Department is
actively involved in the Faculty of Science’s research-focused Data
Science Institute, which brings together a critical mass of Data
Science researchers at UBC.

The hiring process will involve a departmental hiring committee, which
will follow the department’s standard hiring process and consider
criteria for a faculty member in areas of research, teaching and
service contributions, and an AIM-SI Steering Committee, which will
assess whether the candidates short-listed by the departmental hiring
committee satisfy the following criteria: (1) the candidate’s
demonstrated focus on AI methods research and sustained record of
publication either (i) at recognized AI-methods venues or (ii) of work
that the Steering Committee judges meets the bars both for quality and
for focus on AI Methods required for publication at such venues; and
(2) candidate’s commitment to interdisciplinary scientific impact,
based on publication record and an interdisciplinarity statement. This
statement, with a maximum length of two pages, must explain a
candidate's track record and future plans for AI methods research
aiming at scientific impact. This statement must also describe and
advocate for a workshop the candidate would be interested in helping
to organize at UBC for both AIM-SI members and interdisciplinary
researchers beyond the cluster.

All applications must be submitted online to the Academic Jobs Online
website. Interested applicants should submit:

* Cover letter,

* Detailed Curriculum Vitae,

* Research statement,

* Teaching statement,

* Diversity statement,

* The interdisciplinarity statement described above, and

* The names of three references who have been asked to send
reference letters (via upload to Academic Jobs Online).

In addition to surveying key themes in their past and future research,
candidates may choose to use part of their research statement to
explain why their research program should be understood as focusing on
AI methods. The teaching statement should address the applicant’s
teaching interests and provide a record of their teaching experience.
The diversity statement should describe an applicant’s experience
working with a diverse student body, as well as past, present, and/or
future contributions to creating/advancing a culture of equity and
inclusion on campus or within a particular discipline.

Review of applications will begin December 15, 2022. Applications
which are complete by this date, including the receipt of the three
reference letters, are guaranteed full consideration.