Assistant Professor - Computational/Statistical Ecology
- Employer
- University of Toronto, St. George Campus
- Location
- Toronto, ON, Canada
- Ref
- 53797
- Starts
- Closes
- Sector
- Faculty
- Location
- Canada
Assistant Professor - Computational/Statistical Ecology
Date Posted: 10/02/2023
Closing Date: 11/21/2023, 11:59PM EST
Req ID: 32587
Job Category: Faculty - Tenure Stream (continuing)
Faculty/Division: Faculty of Arts & Science
Department: Department of Ecology and Evolutionary Biology
Campus: St. George (Downtown Toronto)
The Department of Ecology and Evolutionary Biology , in the Faculty of Arts and Sciences at the University of Toronto, invites applications for a full-time tenure stream appointment in the area of Computational/Statistical Ecology. The appointment will be at the rank of Assistant Professor, with an expected start date of July 1, 2024, or shortly thereafter.
We seek candidates who conduct conceptually driven research, using computational and/or statistical approaches (including analysis of large-scale datasets or mathematical models) to study fundamental questions in ecology. We seek applications from candidates whose research program complements the research programs of the highly collaborative faculty currently in the Department.
The successful candidate must have a PhD in ecology, evolution or a related field by the start of the appointment, or soon thereafter. Candidates must have a demonstrated record of excellence in research, which can be demonstrated by a record of publications in top-ranked and field relevant journals or forthcoming publications meeting high international standards, the submitted research statement, presentations at significant conferences, awards and accolades, and strong endorsements from referees of high standing. The successful candidate will be expected to mount an independent, innovative, active, externally funded and internationally recognized research program.
The successful candidate will also demonstrate excellence in teaching and contributions to the education and training of undergraduate and graduate students. Excellence in teaching will be demonstrated 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.
Candidates are also expected to show evidence of a commitment to equity, diversity, inclusion, and the promotion of a respectful and collegial learning and working environment demonstrated through the application materials.
We seek candidates who value diversity and whose research, teaching, and service bear out our commitment to equity. Candidates are therefore asked to include a statement discussing past, current and/or planned 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, public engagement activities that reach out to marginalized communities, and mentoring of students from underrepresented groups.
Salary will be commensurate with qualifications and experience. Research and teaching excellence will be evaluated commensurate with the career stage of the candidate, taking into consideration the life trajectory and any special circumstances (e.g., career interruptions) as noted in the submitted materials.
The University of Toronto is a leading academic institution with over 60 faculty members specializing in ecology and evolution. Strong links exist between the Department of Ecology and Evolutionary Biology and the Royal Ontario Museum, the Department of Cell and Systems Biology, the Centre for Global Change Science, Dalla Lana School of Public Health, the School of the Environment, the University network of leading academic research hospitals ( http://www.uhn.ca/ , http://sunnybrook.ca/ ) and research groups with provincial and federal government agencies. The University owns a nearby field station dedicated to ecological research (the Koffler Scientific Reserve; http://www.ksr.utoronto.ca/ ). Toronto is a vibrant and cosmopolitan city, one of the most desirable in the world in which to work and live.
All qualified candidates are invited to apply online by clicking the link below:
https://jobs.utoronto.ca/job/Toronto-Assistant-Professor-ComputationalStatistical-Ecology-ON/574545517/
Applicants must submit:
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 referee the day after an application is submitted. Applicants remain responsible for ensuring that references submit letters (on letterhead, dated and signed) by the closing date. More details on the automatic reference letter collection, including timelines, are available in the candidate FAQ .
Submission guidelines can be found at http://uoft.me/how-to-apply . Your CV, and a cover letter should be uploaded into the dedicated fields. Please combine additional application materials into one or two files in PDF/MS Word format.
For further information on the Department of Ecology and Evolutionary Biology, please visit our website at http://www.eeb.utoronto.ca/ . Questions regarding this position can be directed to Adriana Milani at: chairsec.eeb@utoronto.ca.
Deadline for receipt of all application materials, including reference letters, is November 21, 2023, 11:59pm (EST).
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
Diversity Statement
The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.
As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.
Accessibility Statement
The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.
The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.
If you require any accommodations at any point during the application and hiring process, please contact uoft.careers@utoronto.ca.
Date Posted: 10/02/2023
Closing Date: 11/21/2023, 11:59PM EST
Req ID: 32587
Job Category: Faculty - Tenure Stream (continuing)
Faculty/Division: Faculty of Arts & Science
Department: Department of Ecology and Evolutionary Biology
Campus: St. George (Downtown Toronto)
The Department of Ecology and Evolutionary Biology , in the Faculty of Arts and Sciences at the University of Toronto, invites applications for a full-time tenure stream appointment in the area of Computational/Statistical Ecology. The appointment will be at the rank of Assistant Professor, with an expected start date of July 1, 2024, or shortly thereafter.
We seek candidates who conduct conceptually driven research, using computational and/or statistical approaches (including analysis of large-scale datasets or mathematical models) to study fundamental questions in ecology. We seek applications from candidates whose research program complements the research programs of the highly collaborative faculty currently in the Department.
The successful candidate must have a PhD in ecology, evolution or a related field by the start of the appointment, or soon thereafter. Candidates must have a demonstrated record of excellence in research, which can be demonstrated by a record of publications in top-ranked and field relevant journals or forthcoming publications meeting high international standards, the submitted research statement, presentations at significant conferences, awards and accolades, and strong endorsements from referees of high standing. The successful candidate will be expected to mount an independent, innovative, active, externally funded and internationally recognized research program.
The successful candidate will also demonstrate excellence in teaching and contributions to the education and training of undergraduate and graduate students. Excellence in teaching will be demonstrated 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.
Candidates are also expected to show evidence of a commitment to equity, diversity, inclusion, and the promotion of a respectful and collegial learning and working environment demonstrated through the application materials.
We seek candidates who value diversity and whose research, teaching, and service bear out our commitment to equity. Candidates are therefore asked to include a statement discussing past, current and/or planned 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, public engagement activities that reach out to marginalized communities, and mentoring of students from underrepresented groups.
Salary will be commensurate with qualifications and experience. Research and teaching excellence will be evaluated commensurate with the career stage of the candidate, taking into consideration the life trajectory and any special circumstances (e.g., career interruptions) as noted in the submitted materials.
The University of Toronto is a leading academic institution with over 60 faculty members specializing in ecology and evolution. Strong links exist between the Department of Ecology and Evolutionary Biology and the Royal Ontario Museum, the Department of Cell and Systems Biology, the Centre for Global Change Science, Dalla Lana School of Public Health, the School of the Environment, the University network of leading academic research hospitals ( http://www.uhn.ca/ , http://sunnybrook.ca/ ) and research groups with provincial and federal government agencies. The University owns a nearby field station dedicated to ecological research (the Koffler Scientific Reserve; http://www.ksr.utoronto.ca/ ). Toronto is a vibrant and cosmopolitan city, one of the most desirable in the world in which to work and live.
All qualified candidates are invited to apply online by clicking the link below:
https://jobs.utoronto.ca/job/Toronto-Assistant-Professor-ComputationalStatistical-Ecology-ON/574545517/
Applicants must submit:
- a cover letter
- curriculum vitae
- statement of research outlining current and future research interests
- a teaching dossier to include a teaching statement highlighting previous experience, and can include additional items such as sample course materials, teaching evaluations, and other evidence of superior performance in teaching-related activities submitted as part of the application, as noted above
- an equity and diversity statement, as noted above
- three representative publications or working papers
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 referee the day after an application is submitted. Applicants remain responsible for ensuring that references submit letters (on letterhead, dated and signed) by the closing date. More details on the automatic reference letter collection, including timelines, are available in the candidate FAQ .
Submission guidelines can be found at http://uoft.me/how-to-apply . Your CV, and a cover letter should be uploaded into the dedicated fields. Please combine additional application materials into one or two files in PDF/MS Word format.
For further information on the Department of Ecology and Evolutionary Biology, please visit our website at http://www.eeb.utoronto.ca/ . Questions regarding this position can be directed to Adriana Milani at: chairsec.eeb@utoronto.ca.
Deadline for receipt of all application materials, including reference letters, is November 21, 2023, 11:59pm (EST).
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
Diversity Statement
The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.
As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.
Accessibility Statement
The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.
The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.
If you require any accommodations at any point during the application and hiring process, please contact uoft.careers@utoronto.ca.