6 Dec 2019

Tenure-track positions at the School of Computer Science – McGill University

See original job posting.

The School of Computer Science of McGill University, Montreal, invites applications for several tenure-track appointments at all ranks with expertise in the broad area of machine learning and its interface with other fields of computer science.

Specific areas of interest include:

  • Theoretical foundations of machine learning
  • Machine learning algorithms
  • Security, privacy, robustness, or reliability in AI or AI-driven fields
  • Computer systems for big data analytics and machine learning

Candidates should have a doctoral degree at the date of appointment and must have demonstrated the capacity for independent research of excellent quality. The successful candidates will be expected to conduct high-quality research and secure competitive external funding, teach to a diverse and talented student body and provide service to the University, the profession and society at large.

Salary will be negotiable, according to qualifications and experience. Outstanding candidates with specialization in core machine learning will be recommended to receive a CIFAR Chair in AI (https://www.cifar.ca/ai/pan-canadian-artificial-intelligence-strategy). The expected start date is August 1, 2020.

The complete application package required includes

  • A cover letter
  • A curriculum vitae including a list of publications
  • A research statement
  • A teaching statement
  • The names and email addresses of three references

You can submit your application here: https://hiring.cs.mcgill.ca/apply/socs/

For more information, email: ai_ml@cs.mcgill.ca

The selection process will begin December 1, 2019, and continue until the positions are filled.

Montreal is home to a very active AI and IT community, including university-led institutes such as MILA, industry-led AI research groups (Google, Facebook, Microsoft, Samsung, Borealis, Thales, and several more), as well as a thriving startup community. Montreal is a historic and cosmopolitan city, home to six universities, and considered one of the best cities for students.

McGill University is among the top research-intensive academic institutions in Canada and has been consistently ranked in the top universities worldwide in a number of recent surveys. The School of Computer Science offers a collegial environment with opportunities for interaction with world-class researchers in machine learning, robotics, social data science, bioinformatics, natural language processing, theory of algorithms and complexity, big data systems, communications, and more.


McGill University is committed to equity and diversity within its community and values academic rigour and excellence. We welcome and encourage applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to engage productively with diverse communities.

At McGill, research that reflects diverse intellectual traditions, methodologies, and modes of dissemination and translation is valued and encouraged. Candidates are invited to demonstrate their research impact both within and across academic disciplines and in other sectors, such as government, communities, or industry.

McGill further recognizes and fairly considers the impact of leaves (e.g., family care or health-related) that may contribute to career interruptions or slowdowns. Candidates are encouraged to signal any leave that affected productivity, or that may have had an effect on their career path. This information will be considered to ensure the equitable assessment of the candidate’s record.

McGill implements an employment equity program and encourages members of designated equity groups to self-identify. It further seeks to ensure the equitable treatment and full inclusion of persons with disabilities by striving for the implementation of universal design principles transversally, across all facets of the University community, and through accommodation policies and procedures. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, this email or phone at 514-398-2477.

All qualified applicants are encouraged to apply; however, in accordance with Canadian immigration requirements, Canadians and permanent residents will be given priority.

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