Assistant Professor, Computational Ecology

Posting Details

Job Category

Academic

Position Type

Full-Time

Career Level

Entry Level

STEM Sector

Science

Salary Range

Commensurate with experience

Number of Openings

1


Job Description

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.
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 teachi
ng. 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.

How to Apply

Application Deadline: 05/01/2023

All qualified candidates are invited to apply online by clicking the link below. Applications must include a cover letter; a current curriculum vitae; a statement of research outlining current and future research interests; three representative publications; and a teaching statement as described above.

Equity and diversity are essential to academic excellence. We seek candidates who value diversity and whose research, teaching and service bear out our commitment to equity. Candidates are therefore also asked to submit a 1‐ to 2- page statement of contributions to equity and diversity, which might cover topics such as (but not limited to): research or teaching that incorporates a focus on underrepresented communities, the development of inclusive pedagogies, or the mentoring of students from underrepresented groups. The statement should describe how the candidate’s lived experience has influenced their understanding of and commitment to equity, diversity, inclusion (EDI), the promotion of a respectful and collegial learning and working environment, as well as examples of how it is reflected in their research or teaching.

Applicants must provide the name and contact information of three references. The University of Toronto’s recruiting tool will automatically solicit and collect letters of reference from each after an application is submitted (this happens overnight). Applicants remain responsible for ensuring that references submit letters (on letterhead, dated and signed) by the closing date.

Submission guidelines can be found at: http://uoft.me/how-to-apply. Your CV and cover letter should be uploaded into the dedicated fields. Please combine additional application materials into one or two files in PDF/MS Word format. If you have questions about this position, please email [email protected]

Applications lacking reference letters will not be considered. All application materials, including reference letters, must be received by January 5, 2023.

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