Assistant Professor in Environmental Data Analysis
Simon Fraser University, , Canada
Apply before: 19 December 2022

The School of Environmental Science at Simon Fraser University seeks to fill a tenure-track faculty position in Environmental Data Analysis at the assistant professor rank. We seek a scholar with a quantitative background in Applied Environmental Statistics, with preference for interests in quantitative aspects of Marine Science and Restoration Ecology. Candidates using computational and statistical tools to help study and manage anthropogenic stresses on marine and biological systems are preferred. As part of their teaching requirements, this individual will teach a lower division course on quantitative skills (statistics, coding, numerical modeling) for Environmental Scientists along with an upper division/graduate level course in Environmental Data Analysis. In addition, all SES faculty are expected to be able to teach core courses for our undergraduate major when needed. The successful candidate must hold a Ph.D. in environmental science, statistical ecology, applied statistics, or a closely related field, by the employment start date. Anticipated start date is September 2023.

The successful candidate will have a demonstrated commitment to excellence in research, teaching, and graduate supervision. Excellence in research can be demonstrated through publications in top venues as well as demonstration of broader impact of research outcomes as shown through, for example, research citations, research awards, and successful development of a funded research program. Excellence in teaching can be demonstrated through successful teaching experiences with quantitative courses, demonstrated commitment to teaching, and the creation of inclusive classrooms. Excellence in graduate supervision can be demonstrated through an existing track record of successful graduate student mentorship, other mentorship activities, and demonstration of supervisory potential.


Formed in 2019, the School of Environmental Science is a growing department within the Faculty of Environment at Simon Fraser University, committed to training the next generation of interdisciplinary scientists prepared to tackle global environmental problems. Simon Fraser University is recognized globally for academic and research excellence. It is ranked as Canada’s top comprehensive university and its vision is to be Canada’s most engaged university. SFU has three vibrant campuses located on the unceded territory of the Coast Salish peoples, on whose traditional territories its campuses stand, in British Columbia’s largest municipalities - Burnaby, Surrey and Vancouver - and deep roots in partner communities throughout the province and around the world. By recognizing these unceded territories, SFU aspires to create space for reconciliation through dialogue and decolonizing practices.


Please submit your application as a single PDF file document which contains the following:

A concise cover letter that addresses: 1) candidate’s legal status to work in Canada, 2) reasons for applying to the position, and 3) a narrative description highlighting evidence that the candidate meets the job qualifications and can effectively perform the listed job duties. A complete up-to-date curriculum vitae that lists the candidate's education and employment history, publications and conference presentations, funding and awards, student supervision, collaborations/partnerships, teaching experience, and service activities. A research statement (maximum two pages) that describes the candidate's research experience, goals, and a five-year plan for their research program. A teaching statement (maximum one page) that describes the candidate's teaching philosophy, experience, and evidence of teaching effectiveness. A statement (maximum one page) describing past and potential contributions to enhancing equity, diversity, and inclusion within research, service, and teaching. Two samples of relevant peer-reviewed publications. The names, titles, and email addresses of 3 or 4 referees. Referees will be contacted by SFU for candidates advancing to the later stages of the selection process. Reference letters will only be requested from short-listed candidates. Applications must be received no later than Monday, December 19th, 2022 and sent to, addressed to:

Dr. Karen Kohfeld, Director School of Environmental Science, Simon Fraser University, 8888 University Drive, Burnaby, B.C., CANADA V5A 1S6 TEL: 778-782-5613

For more information about the School of Environmental Science, visit our website:

All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.

Simon Fraser University is an institution whose strength is based on our shared commitments to diversity, equity and inclusion. Diversity is an underlying principle of our Strategic Vision, which pledges SFU to “foster a culture of inclusion and mutual respect, celebrating the diversity reflected among its students, faculty, staff and our community.” SFU is committed to ensuring no individual is denied access to employment opportunities for reasons unrelated to ability or qualifications. Consistent with this principle, SFU will advance the interests of underrepresented members of the work force, including Indigenous peoples, persons with disabilities, racialized persons and women; embrace gender and sexual diversity; ensure that equal opportunity is afforded to all who seek employment at the University; and treat all employees equitably. Candidates that belong to underrepresented groups are particularly encouraged to apply.

Under the authority of the University Act, personal information that is required by the University for academic appointment competitions will be collected. For further details see the Collection Notice.

Of interest for:
  • Marine Working Group
  • Terrestrial Working Group
  • Coastal Working Group
  • Cyberinformatics and Numerics Working Group
  • Geodynamics Focus Research Group
  • Ecosystem Dynamics Focus Research Group
  • Coastal Vulnerability Initiative
  • Continental Margin Initiative
  • Artificial Intelligence & Machine Learning Initiative
  • Modeling Platform Interoperability Initiative
  • River Network Modeling Initiative