Lecturer Full-time

Lecturer Position in Master of Data Science Program

The University of British Columbia (UBC), Vancouver invites applications for a full time non-tenure track faculty position at the rank of Lecturer in the Master of Data Science (MDS) program with an anticipated start date of August 1, 2026. The MDS program is a collaborative effort of the Department of Computer Science, the Department of Statistics, and the Faculty of Science. The Lecturer will be formally based in the Department of Computer Science but work closely with colleagues from both departments.

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 Səlílwətaʔ/Selilwitulh (Tsleil Waututh) Nations.

The Lecturer's initial appointment will be for 1 probationary year and will be renewable subject to availability of funding and demonstration of excellence in teaching, in accordance with the Collective Agreement between UBC and the UBC Faculty Association.

Applicants for this position should hold a Ph.D. in Computer Science or a closely related field and demonstrate expertise in mathematics for machine learning, applied machine learning, data science, and time series analysis. The successful candidate should be capable of teaching a range of courses, from introductory offerings to advanced topics. They should have a strong record of teaching excellence and a demonstrated commitment to enhancing the student learning experience. The preferred candidate should have a proven track record of delivering excellent instruction in Computer Science at the undergraduate level and Data Science at the graduate level, particularly within a professional program such as Master of Data Science (MDS). Experience with evidence-based teaching methods, curriculum development, course design, and other initiatives aimed at enhancing teaching and learning within the university context are also desirable qualifications.

The Lecturer will:

• Carry out teaching and service duties determined by the Option Co-Directors of the MDS program and the Head of the Department of Computer Science, which may include being the primary instructor for a subset of the modules within the MDS program, providing instructional support to other faculty instructors for other MDS modules, and teaching Data Science-related courses in the Department of Computer Science.
• Identify and develop instructional materials, including appropriate datasets, in collaboration with participating faculty.
• Work with MDS Option Co-Directors and faculty to expand the MDS curriculum and keep it current.
• Mentor MDS students undertaking capstone projects and liaise with project partners.
• Foster a positive learning environment for MDS students and be the main continuous presence with the student cohort over the 10 months.
• Serve on the MDS admissions committee.
• Collaborate on Data Science education tasks with other groups at UBC such as the Undergraduate Program within the Department of Statistics, the Sauder School of Business' Master of Business Analytics program, etc.
• Train and supervise teaching assistants.
• Liaise with other UBC units engaged in Data Science teaching and learning initiatives.

We aim to recruit a scholar who is committed to both the practice and the teaching of Data Science and who is drawn to an academic environment. There are also opportunities for the Lecturer to contribute to other Data Science research projects undertaken by the Department of Computer Science. They will also 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 application package should contain the following elements:

• cover letter
• curriculum vitae
• teaching statement
• contact information for three references, and any other pertinent information

UBC hires on the basis of merit and is committed to employment equity. Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. Inclusion is built by individual and institutional responsibility through continuous engagement with diversity to inspire people, ideas, and actions for a better world. 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, Inuk, or Indigenous person. UBC acknowledges that certain circumstances may cause career interruptions that legitimately affect an applicant's record of research or educational leadership achievement. We encourage applicants to note in their applications whether they would like consideration given to the impact of any circumstances, such as those due to health or family reasons, in order to allow for a fair assessment of their research productivity.

All qualified candidates are encouraged to apply; however Canadian citizens and permanent residents will be given priority, and members of historically marginalized groups will be given special consideration.

If you have any needs or questions regarding accommodations or accessibility during the job application, recruitment and hiring process or for more information and support, please visit UBC's Center For Workplace Accessibility website or contact the Centre at workplace.accessibility@ubc.ca.

The University is committed to creating and maintaining an accessible work environment for all members of its workforce. Within this hiring process we will make efforts to create an accessible process for all candidates (including but not limited to disabled people). Confidential accommodations are available on request by contacting Jean Caballero, Faculty of Science, Department of Computer Science by email at jean.caballero@ubc.ca.