Chair in Artificial Intelligence and Machine Learning Ryerson University

NSERC Canada Research Chair in

Artificial Intelligence and Machine Learning (Tier 1 or Tier 2)

Build a research program that develops a critical mass of excellent research in Artificial Intelligence and Machine Learning

 

Ryerson University invites applications for a Natural Sciences and Engineering Research Council (NSERC) Tier 1 or Tier 2 Canada Research Chair (CRC) in Artificial Intelligence and Machine Learning. Tier level will be determined according to the candidate’s experience and eligibility. 

At the intersection of mind and action, Ryerson is on a transformative path to become Canada’s leading comprehensive innovation university. Integral to this path is the placement of equity, diversity and inclusion as fundamental to our institutional culture. Our current academic plan outlines each as core values and we work to embed them in all that we do. Ryerson is located in the downtown core of Toronto, Ontario, where research into Artificial Intelligence and Machine Learning has an immediate impact. 

Artificial Intelligence is defined as the capability of a machine to imitate intelligent human behaviour, an artificial creation of human-like intelligence that can learn, reason, plan, perceive, or process natural language. Machine Learning is a particular approach to Artificial Intelligence, which makes use of learning algorithms that make inferences from data to learn new tasks. Examples of applications of this approach are transportation and Smart Cities, Cyber Security, Biomedical applications such as imaging, logistics in supply chain management, virtual and augmented reality, and core engineering problems to produce better predictions. 

Responsibilities 
Responsibilities will include building a research program that develops a critical mass of excellent research in the area, and shows potential for interdisciplinary and collaborative research and capacity for growth of Graduate Programs at Ryerson; teaching and supervising at the undergraduate and graduate levels; and engagement in collegial service.

The selected candidate will be nominated by Ryerson University to apply for the Government of Canada’s CRC Program. Appointment with the University is conditional upon the successful award of a CRC to the candidate.

Qualifications 
Candidates must have a demonstrated commitment to upholding the values of Equity, Diversity, and Inclusion as it pertains to service, teaching, and scholarly, research or creative activities, and will be expected to demonstrate their ability to work with a diverse student population. Candidates shall have a strong research profile (e.g., evidence of an emerging scholarly record, ability to establish and maintain an independent, externally funded research program), evidence of high-quality teaching and student training, and a capacity for collegial service. 

The following are expectations of an ideal candidate for the position:

  • A PhD in Computer Science, Computer and Electrical Engineering, Mechanical and Industrial Engineering, Mathematics, or a related field;
  • Demonstrated expertise in Artificial Intelligence and Machine Learning and/or applications of Artificial Intelligence and Machine Learning;
  • Strong research profile with evidence of peer-reviewed publications/contributions and external grants (and/or participation in group grants and/or ability to attract multi-centre grants) of an internationally competitive calibre; and evidence of commitment to equity, diversity and inclusion in their research;
  • Strong record of effective student research training which demonstrates how the candidate upholds the values of equity, diversity and inclusion in such training and team building;
  • Demonstrated ability to establish and maintain an independent, externally funded research program;
  • Evidence of research collaborations or strong potential/ability to attract industrial collaborative initiatives, with demonstrated attention to equity, diversity and inclusion in those collaborations or initiatives; and
  • Demonstrated experience in undergraduate course development and teaching, and demonstrated ability to effectively teach key fundamentals of Artificial Intelligence and Machine Learning.

The successful candidate will be appointed at the Assistant, Associate or Full Professor level, and will develop, with Ryerson University, the CRC application for the October 2018 deadline, with the goal of being appointed as a CRC by July 2019. This position is subject to final budgetary approval. The successful nominee must be approved by CRC and will be offered a tenure-track position in the appropriate academic unit(s) that will best fit their expertise.

Please visit the full posting on the Ryerson website at http://bit.ly/2FZ3axF for more information about this opportunity, how to apply and the criteria of the CRC Program. Applications will be accepted until 4:30 p.m. on April 23, 2018.

Ryerson University welcomes those who have demonstrated a commitment to upholding the values of equity, diversity, and inclusion and will assist us to expand our capacity for diversity in the broadest sense. In addition, to correct the conditions of disadvantage in employment in Canada, we encourage applications from members of groups that have been historically disadvantaged and marginalized, including First Nations, Métis and Inuit peoples, Indigenous peoples of North America, racialized persons, persons with disabilities, and those who identify as women and/or 2SLGBTQ+. Please note that all qualified candidates are encouraged to apply; however, applications from Canadians and permanent residents will be given priority. 

As an employer, we are working towards a people-first culture and are proud to have been selected as one of Canada’s Best Diversity Employers and a Greater Toronto’s Top Employer for 2015, 2016 and 2017. To learn more about our work environment, colleagues, leaders, students and innovative educational environment, visit www.ryerson.ca, check out @RyersonU, @RyersonHR and @RyersonEDI on Twitter, and visit our LinkedIn company page.


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