York University, Electrical Engineering and Computer Science

Position ID:York University-Electrical Engineering and Computer Science-AIMLOPEN [#17230]
Position Title: Artificial Intelligence/Machine Learning (Assistant/Associate/Professor, Tenure/Tenure-stream)
Position Type:Tenured/Tenure-track faculty
Position Location:Toronto, Ontario M3J1P3, Canada
Subject Area: Computer Science / Artificial intelligence and machine learning
Appl Deadline:2020/11/30 11:59PMhelp popup (posted 2020/10/19, listed until 2020/11/30)
Position Description:    

*** the list date or deadline for this position has passed. ***

Artificial Intelligence/Machine Learning
Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University

The Department of Electrical Engineering and Computer Science, York University invites highly qualified candidates to apply for a professorial stream tenured or tenure-track appointment in Artificial Intelligence or Machine Learning at an open rank – Assistant, Associate or Full Professor level, depending on experience – to commence July 1, 2021. Salary will be commensurate with qualifications and experience. All York University positions are subject to budgetary approval.

A PhD in computer science or a closely related field is required, with a demonstrated record of excellence, or promise of excellence (depending on the rank of the appointment), in research and in teaching.

Applicants should have a clearly articulated program of research in Artificial Intelligence or Machine Learning, interpreted broadly. Potential areas include, but are not limited to, machine learning theory, computer vision, and natural language processing.

The successful candidate will be expected to engage in outstanding, innovative, and externally funded research at the highest level.

Candidates must provide evidence of research excellence or promise of research excellence of a recognized international calibre, as demonstrated by, for example: the research statement; a record of publications in significant journals in the field; presentations at major conferences; awards and accolades; and recommendations from referees of high standing. The position will involve graduate teaching and supervision, as well as undergraduate teaching, and the successful candidate must be suitable for prompt appointment to the Faculty of Graduate Studies.

Evidence of excellence or promise of excellence in teaching will be provided through means such as: the teaching statement; teaching accomplishments and pedagogical innovations including in high priority areas such as experiential education and technology enhanced learning; teaching evaluations; and letters of reference.

The Department of Electrical Engineering and Computer Science at York University is one of the foremost academic and research departments in Canada with more than 60 faculty members, offering a range of undergraduate programs and research-intensive graduate degrees. For further information please visit http://eecs.lassonde.yorku.ca.

Established in 2012, the Lassonde School of Engineering, York University offers a broad range of undergraduate and graduate programs to educate multidisciplinary problem solvers, critical thinkers, and entrepreneurs who understand creativity, communications, social responsibility, and cultural diversity. Further information is available at http://lassonde.yorku.ca/

York University champions new ways of thinking that drive teaching and research excellence. Through cross-disciplinary programming, innovative course design, diverse experiential learning and a supportive community environment, our students receive the education they need to create big ideas that make an impact on the world. Located in Toronto, York is the third largest university in Canada, with a strong community of 53,000 students, 7,000 faculty and administrative staff, and more than 300,000 alumni.

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 Professor Marcus Brubaker, Chair of the Search Committee at mab@eecs.yorku.ca.

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 www.yorku.ca/acadjobs 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 as part of the online application process. 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 is included as part of the online application process.

You should complete the online application process at https://apply.lassonde.yorku.ca. Include a cover letter (indicating position, and the rank you wish to be considered for), a detailed curriculum vitae, statements of contribution to research, teaching, and curriculum development, three sample research publications. We will start reviewing complete applications on November 15, 2020. For full consideration, we need to have received your complete application materials by November 30, 2020.

We are not accepting applications for this position through AcademicJobsOnline.Org right now. Please apply at https://apply.lassonde.yorku.ca.
Contact: Professor Marcus Brubaker
Email: email
Postal Mail:
1012M Lassonde Building
York University
4700 Keele Street
Toronto, ON
M3J 1P3
Web Page: https://lassonde.yorku.ca/eecs-aimachine-learning-professorial-stream-open-rank

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