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Assistant Professor (EXPIRED)

Department of Philosophy, York University

Job category Junior faculty / Tenure-track or similar
AOS Theoretical Ethics
AOS categories Ethics
AOC Ethics and Artificial Intelligence
AOC categories Applied Ethics
Social and Political Philosophy
Workload Full time
Vacancies 1
Location Toronto, Ontario, Canada
Start date July 1, 2020
Job description

The Department of Philosophy, Faculty of Liberal Arts & Professional Studies, invites applications for a tenure-track Professorial Stream appointment at the Assistant Professor level, to commence July 1st, 2020. We are looking for candidates who combine an Area of Specialization in theoretical ethics with an Area of Competence in Ethics and Artificial Intelligence (AI). The successful candidate will be expected to teach a graduate course on the ethical and societal implications of AI that the department regularly offers for MA students in business and engineering, and to engage with colleagues in cognate departments who are also working on AI. Salary will be commensurate with qualifications and experience. All York University positions are subject to budgetary approval.

A PhD in Philosophy or a related field is required. Candidates must demonstrate excellence or promise of excellence in teaching and scholarly research and be well-positioned to engage with York’s diverse student body and to contribute to the vibrant intellectual life of the department. The successful candidate will have an active research program and be suitable for prompt appointment to the Faculty of Graduate Studies. The position will involve graduate teaching and supervision, as well as undergraduate teaching. Pedagogical innovation in high priority areas such as experiential education and technology enhanced learning is preferred.

York University has a policy on Accommodation in Employment for Persons with Disabilities and is committed to working towards a barrier-free workplace and to expanding the accessibility of the workplace to persons with disabilities.  Candidates who require accommodation during the selection process are invited to contact Michael Giudice, Chair of the Search Committee, at [email protected].

York University is an Affirmative Action (AA) employer and strongly values diversity, including gender and sexual diversity, within its community. The AA Program, which applies to women, members of visible minorities (racialized groups), Aboriginal (Indigenous) people, and persons with disabilities, can be found at http://acadjobs.info.yorku.ca/ or by calling the AA line at 416-736-5713. Applicants wishing to self-identify as part of York University’s Affirmative Action program can do so by downloading, completing and submitting the form found at: http://acadjobs.info.yorku.ca/affirmative-action/self-identification-form/. All qualified candidates are encouraged to apply; however, Canadian citizens, permanent residents and Indigenous peoples in Canada will be given priority. No application will be considered without a completed mandatory Work Status Declaration form which can be found at http://acadjobs.info.yorku.ca/affirmative-action/work-authorization-form.

Applicants should submit a signed letter of application, a curriculum vitae, a sample of written work, a teaching dossier, and arrange for three signed confidential letters of recommendation to be sent directly to: Professor Robert Myers, Chair, Department of Philosophy, S431 Ross Building, York University, 4700 Keele St., Toronto, Ontario, Canada, M3J 1P3. Electronic submissions can be emailed to: [email protected] (subject line: Ethics and AI Search).

To be guaranteed of full consideration, completed applications must be received by January 25, 2020.

How to apply
Application type Email
Subject line: Ethics and AI Search
Email to apply
Hard deadline January 25, 2020, 6:59pm EST
Contact name Robert Myers
Contact email
Contact phone (416) 736-5113
Time created November 11, 2019, 3:55pm UTC
Scheduled expiry date January 25, 2020, 6:59pm EST
Expired on January 26, 2020, 7:46pm EST
Last updated March 28, 2020, 3:00pm UTC
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