Assistant Professor of Teaching (tenure-track)

Academic

Job Category

Faculty Bargaining

Job Title

Assistant Professor of Teaching (tenure-track)

Department

Faculty and Staff | Department of Statistics | Faculty of Science (Matias Salibian-Barrera)

Posting End Date

December 31, 2024

Note: Applications will be accepted until 11:59 PM on the Posting End Date.

Job End Date

Please submit your applications via AcademicJobsOnline.org here: https://academicjobsonline.org/ajo/jobs/28528. Submissions through Workday Portal will not be reviewed.

The University of British Columbia, Vancouver invites applications for a tenure-track Assistant Professor of Teaching position in the Department of Statistics, with an anticipated start date of July 1, 2025. The salary range for this position is $120K - $135K, commensurate with qualifications and experience. 

This position provides the opportunity, with strong institutional support, to pursue a career based on excellence in teaching and educational leadership, while participating in the intellectually exciting atmosphere of our top-tier department. This career path can make an impact on education both within and beyond the classroom, as well as both within and beyond UBC. Assistant Professor of Teaching is the first rank in UBC’s Educational Leadership Stream, followed by Associate Professor of Teaching (with tenure), and then Professor of Teaching.

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: (a) excellence in, and commitment to, undergraduate and graduate teaching; (b) ability to work collaboratively as well as independently, and to supervise the work of others; (c) promise of educational leadership at UBC, and nationally or internationally; and (d) 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 and more nascent data science topics are particularly attractive. Successful candidates will have a strong commitment to equity, diversity and inclusion, to create a welcoming community for all, particularly those who are historically, persistently or systemically marginalized.

The Department of Statistics is a leading international centre for statistical science. UBC’s campuses are located on the traditional, ancestral, and unceded territories of the Syilx (Okanagan) Peoples and of the Coast Salish Peoples, including the territories of the xwməθkwəy̓əm (Musqueam), Skwxwú7mesh (Squamish), and Stó:lō and Səl̓ílwətaʔ/Selilwitulh (Tsleil Waututh) Nations. 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, in the past, 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 and in 2021 collaborated with the Department of Computer Science to launch a Minor in Data Science. This minor built on the earlier success of these two departments collaborating t