Gina Cody Research Chair in Artificial Intelligence

Montréal, Quebec (CA)
16 Jan 2019
End of advertisement period
15 Feb 2019
Contract Type
Full Time

Concordia University

Gina Cody Research Chair in Artificial Intelligence

Department of Computer Science and Software Engineering

Ranked among the top ten engineering schools in Canada, the Gina Cody School of Engineering and Computer Science is home to over 10,000 engineering and computer science students and a faculty complement of 230 professors. With 4,500 graduate students enrolled in 35 graduate programs, the School’s research profile continues to grow as it fosters multidisciplinary approaches to finding solutions to a broad range of societal challenges. For more information on the School, please visit: 

The Department of Computer Science and Software Engineering has over 45 faculty members, working in varied fields in computer science and software engineering, including several strong researchers in Artificial Intelligence. The Department is dedicated to multidisciplinary research and the training of undergraduate and graduate students, offering undergraduate and graduate degrees in Computer Science and in Software Engineering.  Montreal has emerged as a global hub in artificial intelligence, and is synergistically benefitting from a number of university researchers and research institutes collaborating with established companies as well as startups on the next breakthrough discoveries.
More information about the department is available at: 

The Department seeks an outstanding candidate for the Gina Cody Research Chair in Artificial Intelligence at the rank of Associate or Full Professor.  Exceptional candidates at the Assistant Professor level may also be considered.  The five year research chair is renewable and comes with an attractive research package.  The ideal candidate is an internationally recognized researcher with an exceptional scholarly record, and has proven leadership qualities, and the ability to collaborate with industry. She/he is expected to demonstrate a commitment to the supervision of Masters and PhD students and attract strong external funding.  Areas of expertise include, but are not limited to: fundamental research in machine learning or deep learning, and applications to areas such as natural language processing, computer vision, robotics, and medical imaging. The successful candidate will assume a leadership role in artificial intelligence in the department and have rich opportunities for intellectual interaction and collaboration with other leading researchers and in industry.  Membership or eligibility for membership in a Canadian professional engineering association as well as knowledge of French would be considered assets.  

An executive search exercise is being undertaken by Concordia’s search partner Perrett Laver. Perrett Laver will support the University in helping to identify the widest possible field of qualified candidates and assisting in the assessment of candidates against the requirements for the role. 
For further information and details on how to apply, please visit and quote reference 3952. 

All applications must include a cover letter, detailed curriculum vitae, teaching and research statements, and names of four referees. Electronic applications should be submitted by February 15, 2019 and will be reviewed on an ongoing basis until a suitable candidate has been identified. Only short-listed applicants are notified. The appointment is expected to commence in July 2019 or shortly thereafter. 
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Concordia University is strongly committed to employment equity within its community, and to recruiting a diverse faculty and staff. The University encourages applications from all qualified individuals, including women, members of visible minorities, Indigenous persons, members of sexual minorities, persons with disabilities, and others who may contribute to diversification; candidates are invited to self-identify in their applications.
All qualified candidates are encouraged to apply; however, Canadian and Permanent Residents will be given priority. To comply with the Government of Canada’s reporting requirements, the University is obliged to gather information about applicants’ status as either Permanent Residents of Canada or Canadian citizens. While applicants need not identify their country of origin or current citizenship, all applications must include one of the following statements: 

Yes, I am a citizen or permanent resident of Canada 
No, I am not a citizen or permanent resident of Canada