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July 26, 2023 / McGill University - Postdoctoral Teaching and Research Scholar : Living Data Project for ecology, evolution and environmental science

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Postdoctoral Teaching and Research Scholar : Living Data Project for ecology, evolution and environmental science

Postdoctoral Teaching and Research Scholar : Living Data Project for ecology, evolution and environmental science

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Do you have a passion for ‘rescuing’ data, reproduceable research and teaching? If so, come join our fantastic team at the Living Data Project. We have a full-time postdoctoral position available, based in Montréal, jointly appointed between McGill University (J. Sunday and L Pollock) and the Université de Montréal (UdeM; T. Poisot and S. Binning). The Living Data Project is a national initiative (led by the Canadian Institute of Ecology and Evolution; CIEE), to train students to rescue, preserve and synthesize legacy datasets in ecology, evolution and environmental science. This is a highly collaborative effort achieved through graduate training, data rescue internships.

The postdoctoral fellow will be responsible for: training and mentorship of graduate students involved in Living Data Project courses, organizing data rescue internships with academic and non-academic researchers, and multi-institutional workshops and working groups. The postdoc will also develop and pursue research compatible with the goals of the Living Data Project, including through the working groups, self-directed synthesis science and other collaborations with Living Data Project members. The Living Data Project provides exceptional opportunities for expanding professional networks and exposure to non-academic employers. McGill/UdeM faculty will assist the postdoctoral fellow in designing and implementing their own customized professional development plan.

We seek a highly qualified individual with a PhD in any area of ecology, evolution or environmental science who has demonstrated exceptional skills in data management, advanced statistical analysis, and scientific collaboration. Priority will be given to candidates who have proficiencies in at least some of the following skills: data archiving, R programming, version control (e.g. GitHub), reproducible research, database construction, collation of large databases from multiple sources, citizen science, advanced statistics, and collaboration in working groups. Prior teaching experience is an asset. We particularly encourage candidates with experience in hierarchical modelling and meta-analysis. Candidates should also have: excellent organizational, interpersonal, and communication skills; fluency in spoken and written English; and a strong personal commitment to research and teaching. French language skills are also an asset.

Review of applications will begin immediately and will remain open until filled with the appointment to begin as soon as possible with a targeted start date of late summer 2023. The appointment is initially for one year with possible reappointment for an additional year upon a successful performance review. The salary is $50,000 per year plus benefits.

McGill and UdeM hire on the basis of merit and is committed to employment equity. All qualified candidates are encouraged to apply; however, Canadians and permanent residents of Canada will be given priority. The position is subject to final 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.

How to Apply

Application Deadline: 31/10/2023

Applicants should submit a CV, statement of relevant experience and training, and the names and contact information (including phone and e-mail) of up to three references to: Laura Pollock with a copy to All documents should be submitted as one (1) PDF document.

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