Current Job Opportunities


Assistant Professor, Tenure Track │Canada Research Chair – II in Statistical Ecology

The Department of Statistics in conjunction with the Institute for the Oceans and Fisheries (IOF) in the Faculty of Science invites applications from outstanding new investigators for a Canada Research Chair (CRC) - Tier II, in the area of Statistical Ecology. This will be a tenure track appointment at the rank of Assistant Professor.
The successful candidate will be expected to develop an independent research program and engage in developing and applying statistical methods and study designs to improve stock and habitat assessments of marine species, as well as spatial and population models that integrate multiple sources of biological, social and physical data. The successful applicant will be expected to catalyze synergies between Statistics and the IOF, and develop and contribute to research projects on fisheries issues of regional interest (British Columbia) in collaboration with scientists from other institutions and organizations. As a faculty member within both the Department of Statistics and the IOF, the successful candidate will also be expected to effectively participate in undergraduate, graduate, and postgraduate teaching and supervisory activities, collaborate with other faculty members, secure external funding and make academic service contributions in both units.
Candidates must have a Ph.D. in Statistics, Biostatistics, Quantitative Fisheries Ecology or a related field awarded within the past 10 years. Applicants must also demonstrate excellence or potential for excellence in both teaching and research.
The IOF ( is home to a world-leading multidisciplinary research team with particular strength in innovative marine conservation and ecosystem-based management approaches and tools. It promotes and integrates research on fish and fisheries, including ecology, fisheries assessment, oceanography, community-based management, marine protected areas, fisheries policy and ethics, interactions with marine mammals, and aspects of fisheries that draw on economics, law, sociology, history, anthropology, and other disciplines.
The Department of Statistics ( is a leading centre for statistical science research in North America. Faculty members excel in both theory and methods research and collaborative research with domain-area scientists. The department is home to the Statistical Consulting and Research Laboratory, which supports research both inside and outside the department. The department also hosts a vibrant graduate program and growing undergraduate programs. Recent efforts see the department emerging as a hub for innovation in statistical education.
The position is subject to final budgetary approval, and the individual selected will be subject to review and final approval by the CRC secretariat. The anticipated start date is July 1, 2016 or upon a mutually agreeable date.
Applicants should send a detailed curriculum vitae, a statement of vision for their research program, and a statement of teaching and training philosophy, to by February 15, 2016.  Applicants must also arrange for three confidential letters of reference to be sent directly to the same address by this date.
UBC hires on the basis of merit and is strongly committed to equity and diversity within its community. We especially welcome applications from visible minority group members, women, Aboriginal persons, persons with disabilities, persons of minority sexual orientations and gender identities, and others with the skills and knowledge to productively engage with diverse communities.


Postdoctoral Teaching & Learning Fellow, UBC Vancouver

The University of British Columbia, Vancouver invites applications for a Postdoctoral Teaching & Learning Fellow, associated with a proposed Master of Data Science (MDS) program which is pending approval from the B.C. Ministry of Advanced Education. This program is a collaborative effort of the Department of Computer Science and the Department of Statistics, within the Faculty of Science. The Fellow will be based in the Department of Statistics but work closely with colleagues from both departments, including another Fellow based in Computer Science.

The MDS program will focus on the innovative and responsible use of Data Science tools across a broad spectrum of data types and domain areas. It is a 10-month, full-time program, delivered in course modules of two-week and four-week durations. The last two months are devoted to a capstone project. Pending approval, the first cohort of MDS students will arrive in September 2016. Thus this position offers an opportunity to shape the delivery of the program from its inception. The Fellow will:

  • Identify and develop instructional materials, including appropriate datasets, in collaboration with participating faculty.
  • Be the primary instructor for a subset of the modules and provide instructional support to other faculty instructors for the remainder.
  • Work with MDS Directors and faculty to expand the MDS curriculum and keep it current.
  • Supervise teaching assistants.
  • Foster a positive learning environment for MDS students and be the main continuous presence with the student cohort over the 10 months.
  • Mentor MDS students undertaking capstone projects and liaise with project partners.
We aim to recruit a junior 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 Fellow to contribute to other Data Science research projects undertaken by the Statistical Consulting and Research Laboratory within the Department of Statistics.

The position is subject to final budgetary approval. The Fellow will be appointed for one year, with the intent of renewal for one or more additional years. The preferred start date is as early as feasible, and must be well in advance of the anticipated arrival of the first student cohort in September 2016. The Fellow will primarily report to the MDS Academic Program Director. We anticipate being able to offer a competitive salary compared to norms for postdoctoral fellowships.

Applicants should hold a PhD in an area relevant to Data Science and have some background in Statistics. They should have experience in at least one of these areas and enthusiasm for all: practical data management and analysis; teaching at the postgraduate level; curriculum development; R/Python/SQL; version control; and other practices related to collaborative and reproducible scientific work. Inquiries about qualifications or the proposed program can be directed to

UBC hires on the basis of merit and is strongly committed to equity and diversity within its community. We especially welcome applications from visible minority group members, women, Aboriginal persons, persons with disabilities, persons of minority sexual orientations and gender identities, and others with the skills and knowledge to productively engage with diverse communities. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Applicants should compile a single PDF file with the following elements: cover letter, curriculum vitae, contact information for three references, and any other pertinent information (e.g., evidence of teaching effectiveness or links to relevant data scientific work). The cover letter should specifically address how this position relates to the applicant’s experience and career aspirations. The file should be sent to Applications will be reviewed as they arrive; those received by 2016 February 12 will receive full consideration.

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Department of Statistics

Department of Statistics, University of British Columbia
3182 Earth Sciences Building
2207 Main Mall
Vancouver, BC, Canada V6T 1Z4
Tel: 604.822.0570
Fax: 604.822.6960

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