Job:Assistant Professor, Computational Ecology
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jterakita ▴ 20

The Department of Biological Sciences at the University of Toronto Scarborough (UTSC) invites applications for a full-time tenure stream position in the area of Computational Ecology. The appointment will be at the rank of Assistant Professor, with an expected start date of July 1, 2023, or shortly thereafter. The University of Toronto Scarborough is implementing a new Strategic Plan: Inspiring Inclusive Excellence. Consistent with the values and objectives in that plan, we especially welcome candidates who self-identify as Indigenous or those who have lived experience in Black or other racialized (persons of colour) communities. This position is part of a cohort of similar faculty searches in Anthropology, Arts, Culture & Media, Biological Sciences, Health & Society, Historical and Cultural Studies, Language Studies, Political Science, Management, and Sociology. New colleagues will have the opportunity to be connected with previous cohorts of faculty from under-represented groups, including those hired in the last three years in departments spanning the Sciences, Social Sciences and Humanities. For this important cohort hire, the University is partnering with BIPOC Executive Search. Individuals seeking more information and guidance during the application process can email Candice Frederick or Jason Murray at cfrederick@bipocsearch.com.

Applicants must have a PhD in Biological Sciences, Mathematics, or a related field, and at least one year of postdoctoral research experience relevant to the position, with a demonstrated record of excellence in research and teaching. The successful candidate will employ modern quantitative modeling approaches with potential application in areas such as ecosystem management, restoration conservation, and zoonotic diseases.

The Department of Biological Sciences seeks to increase our fundamental understanding of the natural world, while ensuring these insights have positive impacts on sustainability and population health. This position will be central to that mission. Understanding large-scale dynamics is essential to sound management, and this can only be achieved through computational modelling. The successful candidate will create synergies with existing ecological research at the University of Toronto Scarborough, in areas such as the origins, structure, ecology, and conservation of biodiversity and natural systems, to complement and deepen our existing departmental strengths.

The successful candidate will be expected to conduct innovative and independent research at the highest international level and to establish an outstanding, competitive, and externally funded research program. Candidates must provide evidence of research excellence which can be demonstrated by a record of publications in top-ranked and field-relevant academic journals, presentations at significant conferences, awards and accolades for work in the field, an innovative research statement and strong endorsements by referees of high international standing.

Candidates will also be expected to demonstrate excellence in teaching through a teaching statement highlighting previous experience that can include leading successful workshops or seminars, student mentorship, delivering conference presentations or posters, or experience as a teaching assistant or course instructor. Excellence in teaching may also be demonstrated through materials such as sample course syllabi (either of courses delivered by the candidate or planned for the future), course evaluations, or other evidence of superior performance in teaching-related activities submitted as part of the application. Other teaching-related activities may include performance as a teaching assistant or course instructor, experience leading successful workshops or seminars, student mentorship, excellent conference posters or presentations, and/or strong engagement with local communities, conservation organizations, ecosystem managers, and the general public.

Apply here: https://jobs.utoronto.ca/job/Toronto-Assistant-Professor-Computational-Ecology-ON/565109917/

computational ecology • 154 views
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