Electrical and Computer Engineering – Assistant Professor (Machine Learning and Artificial Intelligence in Engineering) Mcgill university

Location: Quebec
Date posted: 2021-12-17
Advertised until: 2022-02-15

The Department of Electrical and Computer Engineering at McGill University is currently seeking applications for a tenured professor position at the level of Assistant Professor in Applied Artificial Intelligence, broadly defined. Exceptional applications at other levels will also be considered. 

McGill University is one of Canada’s foremost research-intensive academic institutions and is consistently ranked among the world’s top universities. Successful applicants will play a key role in upholding McGill’s international reputation for excellence in research, teaching and service.

We are particularly interested in candidates with expertise in the following areas:

  • Applications of machine learning (MA) approaches related to engineering sciences, including, but not limited to:
  • Robotics and Control, Sim2Real, Policy Design and Reinforcement Learning;
  • Computer vision, medical imaging and multimodal understanding;
  • Computer graphics, human-machine and haptic interaction;
  • Hardware architecture, systems and software engineering;
  • Secure, reliable and ethical AI;
  • Sustainable and energy-efficient learning systems.

Applicants working on machine learning applications in the field of computer science are referred for separate research in the school of computer science,  JR0000017569

The expected start date of employment is August 1, 2022.

The successful candidate will have to set up an internationally competitive research group. The candidate will carry out high quality research, obtaining internal and external funding that will allow him or her to bring the necessary resources (both material and human) to the establishment of his team.

The department is committed to teaching excellence in its undergraduate and graduate programs in electrical, computer and software engineering and values ​​the contributions of its members to the university, the profession, and society at large.

Qualifications and training required:
Applicants should have a doctorate or soon, preferably with an undergraduate degree in electrical, computer or software engineering. It is essential to be able to demonstrate excellent research achievements, especially in the fields of applied machine learning, reinforcement learning, artificial intelligence or related fields – which should be demonstrated, in part, through a strong record of publications in leading journals and conferences devoted to machine learning / artificial intelligence and applications (e.g. NeurIPS, ICLR, ICML, AAAI, ICRA, CVPR, MICCAI, IROS, ICCV, ECCV, SIGGRAPH). This list of places is not exhaustive, and

Priority qualifications include dedication to an environment that supports a diversity of people and perspectives; As our students come from a wide range of disciplines, cultures and backgrounds, we invite candidates to address in their application their ability to teach, supervise and supervise in this context. The successful candidate will demonstrate a strong commitment to the mission of the University, through activities at an exceptional level in the areas of research, teaching and service. Membership or eligibility for membership in a Canadian professional association of engineers is required.

Applicants must submit a complete application package, consisting of

  • A cover letter
  • A curriculum vitae including a list of publications.
  • A research statement
  • A teaching statement
  • A statement on equity, diversity and inclusion.
  • The names and email addresses of three references.

Consideration of applications will begin on January 10, 2022 and will continue until the position is filled. Depending on the feasibility, the interviews can be conducted in person or remotely.

Application documents should be submitted to  JR0000020868  on “Workday”.

For more information on the Electrical and Computer Engineering Department, please visit our website at:  mcgill.ca/ece . Inquiries can be directed to the Department Director, Warren Gross, at  chair.ece@mcgill.ca .

The salary will be commensurate with qualifications and experience.

Qualified candidates will be proposed to become affiliates of Mila (Quebec Institute of Artificial Intelligence) and exceptional candidates with one or more appropriate specializations may be eligible for  the CIFAR chair. in artificial intelligence , depending on availability.

Montreal is a cosmopolitan city located in the heart of Quebec. It is home to the largest number of universities and students in Canada and is tied for first place in North America. Montreal is consistently ranked among the best cities in the world for post-secondary education. The city is home to a very active academic and industrial community, including university machine learning institutes such as the Mila – the Quebec Institute of Artificial Intelligence – which enjoys considerable public funding. In addition, members of many industry-led research groups (Google, Facebook, Microsoft, Samsung, ElementAI / ServiceNow, Borealis,

McGill University is a leading research-intensive higher education institution in Canada and consistently ranks among the top universities in the world in all reputable ranking surveys. Its collegial environment offering opportunities for interaction with world-class researchers covers all applied technical and theoretical fields.

Adherence to the principles of equity and diversity
McGill University is firmly committed to respecting the principles of equity and diversity within its community, while promoting academic rigor and excellence. It welcomes job applications from racialized people and visible minorities, women, Indigenous people, people with disabilities, ethnic minorities, people of any sexual orientation and gender identity, as well as anyone with the skills and knowledge necessary to interact in diverse groups.

McGill values ​​and encourages research that reflects diverse intellectual traditions, methodologies, and modes of dissemination and translation. Candidates are invited to demonstrate the scope of their research, both within their university field and in an interdisciplinary context, particularly in the government, community and industrial sectors.

In addition, McGill recognizes and fairly considers the impact of time off (eg, family responsibilities or time off for health reasons), which can result in career interruptions or slowdowns. Anyone applying is encouraged to report any leave that has affected their performance and may have changed their career path. This information will be taken into account for the purposes of a fair assessment of the case.

McGill University has an employment equity program and invites members of targeted groups to indicate their membership in their application. It is also keen to ensure that people with disabilities receive fair treatment and can fully integrate into university life, having at heart to implement the principles of universal design in all spheres of activity of the l ‘University, in accordance with accommodation policies and procedures . People with disabilities who may need certain accommodations to submit their application are invited to communicate confidentially by email .

All qualified applicants are encouraged to apply; Please note that in accordance with Canadian immigration requirements, however, priority will be given to persons holding Canadian citizenship as well as permanent residence status.

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