Tenure-Track Instructor Positions in Statistics (#35876)
The Department of Statistics (www.stat.ubc.ca)
at the University of British Columbia (UBC), Vancouver (www.ubc.ca)
invites applications for three tenure-track positions at the rank of Instructor, with an anticipated start date of July 1, 2020 or January 1, 2021.
These positions provide the opportunity, with strong institutional support, to pursue a career based on excellence in teaching and educational leadership. This career path
can make an impact on education both within and beyond the classroom, as well as both within and beyond UBC. Instructor is the first rank in UBC’s Educational Leadership Stream [1,
by Senior Instructor (with tenure), and then Professor of Teaching. In exceptional circumstances, an initial appointment at a rank higher than Instructor might be considered. A typical teaching load in these positions would be four or five courses per calendar
year, with educational leadership contributions also expected.
It is anticipated that successful candidates will hold a Ph.D. (in Statistics, Biostatistics, or a related field), though applicants with other advanced degrees and/or relevant
experience will be considered.
The successful candidates must provide evidence of: excellence in, and commitment to, undergraduate teaching; ability to work collaboratively as well as independently,
and to supervise the work of others; promise of educational leadership at UBC and nationally or internationally; and potential for creating innovative instructional environments. Experience with evidence-based teaching methods, curriculum development, course
design, and other initiatives that advance the university’s ability to excel in its teaching and learning mandate is also an asset. Candidates motivated to innovate around the teaching of both core statistical topics (e.g., estimation, hypothesis testing)
and more nascent data science topics (e.g., visualization, data wrangling, transparent and reproducible workflows) are particularly attractive.
The Department of Statistics is a leading international centre for statistical science. The department hosts undergraduate programs and courses which continue to grow
and evolve rapidly, as well as vibrant graduate programs. Recent initiatives undertaken by the department’s current Educational Leadership faculty, along with their research faculty counterparts, include authoring textbooks, pioneering the use of classroom
learning technologies such as Jupyter Notebooks 
and nbgrader ,
developing and sharing the use of introductory statistics learning resources via StatSpace ,
and integrating R into WeBWorK via the WeBWorKiR project .
Such initiatives position the department as a hub for innovation in statistical and data science education, and evidence-based pedagogy. The department is also home to the Applied Statistics and Data Science Group ,
which supports research and graduate-level training inside and outside the department. Research faculty in the department excel in theory and methods research, while also being known for collaborative and impactful research with domain-area experts.
A natural outgrowth of our teaching philosophy and our collaborative research is our engagement in UBC’s leading-edge data science initiatives. In 2019, the department launched
a new first-year data science course, DSCI 100 .
This course, which is already serving many students, would be part of a proposed Minor in Data Science. Cross-unit discussions of this proposal are now well underway. It is envisioned that the minor, offered jointly by the Computer Science and Statistics Departments,
could be added to virtually any undergraduate majors program across the university. These plans build on the earlier success of these two departments collaborating to design and launch a 10-month professional master’s program, the Master of Data Science .
This program has grown rapidly subsequent to enrolling its first cohort in September 2016, with several offshoot programs now available. Department faculty are also active members of the Data Science Institute ,
which brings together a critical mass of data science researchers at UBC.
UBC’s strategic plan identifies inclusion as one of our key priorities. We welcome colleagues with experiences and competencies that
can contribute to our principles of inclusion, equity, and diversity throughout campus life. In your application, please include a statement describing your experience working with a diverse student body and your contributions to creating/advancing a culture
of equity and inclusion on campus or within your discipline.
All applications must be submitted to the UBC Faculty Careers page (http://www.facultycareers.ubc.ca/35876).
Applicants should upload the following components within a single PDF document: a cover letter, a detailed curriculum vitae, a statement of vision for education in statistics and data science, a statement of teaching and training philosophy, a diversity statement,
and the names of three references who have been asked to send reference letters. When possible, candidates are encouraged to include, in their cover letter, hyperlinks to one or two examples of their teaching materials.
The deadline for application is Friday, December 13, 2019. Please ensure that your references submit their letters to
by the same deadline.
Questions about the recruitment can be directed to Dr. Paul Gustafson, Department Head, at
firstname.lastname@example.org (please include “Educational Leadership positions” in the subject line).
Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged.
We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or _expression_, racialization, disability, political belief, religion,
marital or family status, age, and/or status as a First Nation, Métis,
Inuit, or Indigenous person.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. The positions are subject to final budgetary approval.
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