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Want to play a big role in the Living Data Project to save ecological data? See postdoc add below.

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

We seek a full-time postdoctoral teaching and research fellow to join the Living Data Project at McGill University and the Université de Montréal. The Living Data Project is a national initiative including 6 Canadian universities, led by the Canadian Institute of Ecology and Evolution (CIEE), to (1) preserve – using best practices in digital archiving and data management – legacy datasets in ecology, evolution and environmental science; (2) synthesize scientific data and concepts using collaborative team approaches; and (3) provide training for graduate students and other early-career researchers in data management, reproducible research, synthesis statistics and scientific collaboration. 

The successful candidate will be responsible for:

  1. training and mentorship of graduate and undergraduate students involved in the Living Data Project (LDP), 
  2. Assisting in the organization of data rescue internships with academic and non-academic researchers, 
  3. Organizing, in collaboration with LDP postdoctoral fellows located at other Canadian universities, multi-institutional training events such as workshops and working groups. 

The postdoctoral fellow will be provided with opportunities to be involved in research through the working groups and other collaborations with Living Data Project members. The postdoctoral fellow will be mentored in this project by university faculty in both institutions (Prof. Pollock & Sunday, McGill; Prof. Poisot & Harvey, UdeM), will be eligible to become a member of the Québec Centre for Biodiversity Sciences, and will receive logistical and administrative assistance from the Canadian Institute of Ecology and Evolution (CIEE).

We seek a highly qualified individual with a Ph.D. in any area of ecology, evolution or environmental science who has demonstrated exceptional skills in data management, quantitative analysis (not limited to frequentist statistics, i.e. including machine learning), and scientific collaboration. Priority will be given to candidates who have proficiencies in at least some of the following skills: data archiving, programming, version control (e.g. GitHub), reproducible research, database construction, collation of large databases from multiple sources, citizen science, advanced statistics and quantitative techniques (e.g. hierarchical modelling, structural equation models, meta-analysis), and collaborating in working groups. We particularly encourage candidates with prior experience in teaching or mentoring of the above skills, either as a teaching assistant, instructor of record, or in any other capacity. Candidates should also have excellent organizational, interpersonal, and communication skills; fluency in spoken and written English; and a strong personal commitment to research, teaching, and the values of open and reproducible science. Conversational French is a plus but not required for the position.

The initial appointment is for seven months, renewable for up to 2 years. The successful candidate will have access to office space and professional development opportunities both at McGill and UdeM for the duration of the contract but will be on McGill University payroll.

Applicants should submit a CV, statement of relevant experience and training, and short (300 words) statements on EDI and Open Science, as well as the names and contact information (including phone and e-mail) of up to three references to Laura Pollock (laura.pollock@mcgill.ca) and Timothée Poisot (timothee.poisot@umontreal.ca), with the subject line “LivingData post-doc”. Undergraduate transcripts are not relevant information for this position and must neither be included nor mentioned. Pre-prints that are publicly available are acceptable evidence of scholarship and we encourage applicants to mention them in their application; similarly, owing to the nature of the project, publicly deposited datasets and software should similarly be discussed.

Review of applications will begin immediately and will remain open until filled, with the appointment anticipated to begin no later than September 1, 2020. Although the project will start remotely, we expect the successful candidate to be based in Montréal. The successful applicant will receive a salary of $50,000 per year plus benefits. The position is subject to final budgetary approval

We encourage all qualified persons to apply; however, Canadians and Permanent Residents of Canada will be given priority. 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, 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.

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