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Fwd: [cmath]Data Science – Instructor (Limited Term) - University of British Columbia - Okanagan Campus

Forwarded message below.

Sadika Jungic, Manager
Academic and Administrative Services
Department of Statistics and Actuarial Science
Simon Fraser University
8888 University Drive,
Burnaby, B.C. V5A 1S6

Phone 778-782-3665
Room #10543 SSC
email: sjungic@sfu.ca

From: "Alan Kelm" <akelm@cms.math.ca>
To: "CMath E-Mail Distribution List" <cmath@cms.math.ca>
Sent: Friday, 24 November, 2017 08:48:08
Subject: [cmath]Data Science – Instructor (Limited Term) - University of British Columbia - Okanagan Campus

University of British Columbia - Okanagan Campus
Irving K. Barber School of Arts and Sciences

Data Science – Instructor (Limited Term) [Job ID#: 28239]

The Irving K. Barber School of Arts and Sciences at the University of British Columbia, Okanagan Campus, invites applications for a limited-term position in Data Science, at the rank of Instructor. The appointment is for a maximum duration of 3-years, renewable annually. The successful candidate will be a member of the data science cluster in the Department of Computer Science, Mathematics, Physics, and Statistics (http://cosc.ok.ubc.ca/graduate/data-science.html#undefined; http://cosc.ok.ubc.ca/prospective/data-science.html). The appointment is expected to start on July 1, 2018, or soon thereafter.

Applicants must have a PhD in Statistics or a closely related field; with a strong record of relevant university-level teaching; demonstrable commitment to teaching excellence; and promise of education leadership. Knowledge of analytics techniques (including modelling, uncertainty quantification, and modern simulation methods) is essential, as is familiarity with tools such as. Hadoop, R, Python, Tableau, and SAS.

The appointee is required to keep abreast of current developments in the field of data science and related pedagogy, but there is no requirement to undertake research activities. Nevertheless, 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 desirable and will be a significant asset.

The successful candidate is expected to teach in core areas of statistics, 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 home to several Instructors who are active in the scholarship of teaching.

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 http://www.ubc.ca/okanagan/ikbarberschool/welcome.html.

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 http://www.hr.ubc.ca/faculty-staff-resources/. Information about the surrounding community can be found at: http://www.hr.ubc.ca/worklife-relocation/.

How to Apply:

Applications are to be submitted online at http://www.hr.ubc.ca/careers-postings/faculty.php (Job Opening ID# 28239), and should include:

  1. a cover letter
  2. a curriculum vitae
  3. a statement of teaching philosophy
  4. evidence of teaching effectiveness (e.g. teaching/course evaluations), and
  5. 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: ashlee.robinson@ubc.ca.

Please direct any inquiries regarding the posting to Dr. Yves Lucet at: yves.lucet@ubc.ca. All correspondence, including referees' letters, must indicate the competition title (Data Science Instructor) 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.

This employment posting is among those listed in the Employment section of the CMS website: