Assistant Professor of Data Science
University of British Columbia

The Irving K. Barber School of Arts and Sciences at the University of British Columbia, Okanagan Campus, invites applications for a position in Data Science, at the rank of Assistant Professor. The successful candidate will be a member of the data science cluster in the Department of Computer Science, Mathematics, Physics, and Statistics (; The appointment is expected to start on July 1, 2018, or soon thereafter.

Applicants must have a PhD in Computer Science or a closely related field with a focus area related to data science. Candidates must have a demonstrated record of research productivity and proven ability to obtain external funding in support of a successful program of research. They must also demonstrate commitment to student mentoring and supervision, excellence in undergraduate and graduate teaching appropriate to career stage, and an interest in graduate supervision. Preference will be given to candidates specializing in any of the following broad areas: (i) cloud computing and distributed systems, preferably with networking and service architecture knowledge; (ii) machine learning, data analytics, and big data, preferably with a focus on neural networks; (iii) cyber security and networking; or (iv) data visualization, especially in AR/VR/MR.

The ability to integrate one’s expertise into ongoing scholarly activities in the department and on the campus and to enhance existing strengths in Computer Science, Data Science, Mathematics, Optimization, and/or Engineering is highly desirable and will be a significant asset. The appointee is also expected to make connections with industry partners to support research and learning partnerships.

The successful candidate should be able to teach in core areas of computer science, with a particular focus on courses within the recently launched undergraduate and graduate programs in data science. The individual will also have the opportunity to contribute to further development of the curriculum; supervise undergraduate and graduate students; and fulfill service obligations to the University and community.

The Department of Computer Science, Mathematics, Physics, and Statistics, at UBC’s Okanagan campus, is a dynamic and highly interdisciplinary unit of more than 25 faculty members with research clusters in optimization, medical physics, and data science. It is also very active in the scholarship of teaching and science education. Within Computer Science, in particular, there is dynamic research in artificial intelligence and network science; data integration, big data, and internet of things; modeling, optimization, and computer-aided analysis.

The Department is housed in the vibrant Irving K. Barber School of Arts and Sciences. The Faculty offers both discipline-based and interdisciplinary programs at the undergraduate and graduate levels. The collegial learning environment in the Faculty focuses on effective teaching, critical and creative scholarship, and the integration of scholarship and teaching. We are committed to an ethos of local involvement, global engagement, and intercultural awareness, and we provide a positive, inclusive, and mutually supportive working and learning environment for all our students, faculty, and staff. To learn about the Irving K. Barber School of Arts and Science, go to

UBC is one of the world’s leading universities, and is consistently ranked in the top 40. The university has two distinct campuses, one in Vancouver and one in Kelowna. UBC’s Okanagan campus, located in the city of Kelowna, has over 9,000 students in seven faculties, with strong undergraduate and graduate programs. Situated in the heart of the Okanagan Valley, one of the most scenic regions in Canada, it offers an intimate learning environment and excellent opportunities for regional, national, and international scholarly activities. For more information about UBC resources and opportunities, please visit Information about the surrounding community can be found at:

How to Apply:

Applications are to be submitted online at (Job Opening ID# 28243), and should include:

i) a cover letter
ii) a curriculum vitae
iii) a research statement
iv) a statement of teaching philosophy
v) evidence of teaching effectiveness (e.g. teaching/course evaluations), and
vi) the names of three referees who have been asked to submit letters of reference.

Applicants should also arrange to have their referees submit letters of recommendation directly to Ashlee Robinson by the deadline, at:

Please direct any inquiries regarding the posting to Dr. Yves Lucet at: All correspondence, including referees’ letters, must indicate the competition title (Data Science Assistant Professor) in the subject line of the e-mail.

The deadline for applications is December 22, 2017. All positions are subject to budgetary approval.

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, Metis, Inuit, or
Indigenous person.

In support of our commitment to equity and diversity, all candidates will be invited to participate in an online Equity Survey as part of the appointment process.

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