Assistant Professor, Machine Learning and Artificial Intelligence
POSITION CODE: 21_T_CSSE_M4
Tenure-Track Position in Innovation in Machine Learning and Artificial Intelligence
The Department of Computer Science and Software Engineering invites applications for up to two tenure-track positions in machine learning, reinforcement learning, deep learning, natural language processing, and artificial intelligence and its applications. Duties include research, teaching at both the graduate and undergraduate levels, and service to the institution. The selected candidate will join a growing group of recent hires in the area of artificial intelligence. This is a tenure-track position at the rank of Assistant Professor, but exceptional candidates at the Associate Professor level may also be considered.
Qualifications and assets:
Candidates must have completed their PhD in Computer Science, or a related discipline, or be near completion at the start date of the appointment. Membership or eligibility for membership in a Canadian professional engineering association, preferably in Quebec, is required.
The main criteria for selection are scholarly and teaching excellence. The successful candidate will provide evidence of high-quality scholarly output that demonstrates potential for independent research leading to peer assessed publications, industrial application of their research activities, and the securing of external research funding, as well as strong potential for outstanding teaching contributions at both the undergraduate and graduate levels. Industrial experience will be a definite asset. The Department values diversity among its faculty and strongly encourages applications from women and members of underrepresented groups. The language of instruction at Concordia is English, but a working knowledge of French is an asset.
How to Apply:
Applications should be addressed to: Dr. Lata Narayanan, Professor and Chair (email: email@example.com)
Applications must include a cover letter clearly identifying the title and position code (21_T_CSSE_M4), a detailed curriculum vitae, teaching and research statements, and the names and contact information of four referees. Electronic applications should be submitted by October 31, 2021 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 January 1, 2022 or shortly thereafter.
Concordia University is strongly committed to building a diverse, equitable, and inclusive community, and recognizes the importance of inclusion in achieving excellence in teaching and research. As part of this commitment to providing our students with the dynamic, innovative, and inclusive educational environment of a Next‐Generation University, we require all applicants to articulate in their cover letter how their background, as well as lived and professional experiences and expertise have prepared them to teach in ways that are relevant for a diverse, multicultural contemporary Canadian society.
These ongoing or anticipated examples can include but are not limited to:
• teaching about underrepresented populations
• mentoring students from underrepresented backgrounds
• committee work
• offering or organizing educational programming
• participation in training and workshops
All applicants will receive an email invitation to complete a short equity survey. Participation in the survey is voluntary and no identifying information about candidates will be shared with hiring committees. Candidates who wish to self-identify as a member of an underrepresented group to the hiring committee may do so in their cover letter or by writing directly to the contact person indicated in this posting.
Applicants who anticipate requiring adaptive measures throughout any stage of the recruitment process may contact, in confidence, Nadia Hardy, Interim Deputy Provost and Vice-Provost, Faculty Development and Inclusion at firstname.lastname@example.org or by phone at 514.848.2424 extension 4323.
Information about the Department:
The Department of Computer Science and Software Engineering has over 50 faculty members, working in varied fields in computer science and software engineering, and has seen a major expansion in recent years. The Department is steadily moving up the rankings in recent years, with the Software Engineering research group being rated among the highest in North America. The Department is dedicated to multidisciplinary research and to educating students at the undergraduate and graduate levels in Computer Science and in Software Engineering. Concordia University is located in the heart of downtown Montreal, a multicultural city with a lively intellectual and cultural life. 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 start-ups on the next breakthrough discoveries. It is also home to many leading high-tech companies in areas such as telecommunications, computer games, aerospace, and biotechnology. More information about the Department is available at: www.concordia.ca/cse.
Information about the Gina Cody School of Engineering and Computer Science
The Gina Cody School of Engineering and Computer Science is ranked among the top ten engineering schools in Canada. The School is home to over 10,000 engineering and computer science students and a faculty complement of 235 faculty members. The School has about 4,500 graduate students enrolled in 35 graduate programs. Its research profile continues to grow as it fosters multidisciplinary approaches to finding solutions to a broad range of societal challenges. Concordia University and the School attract a high quality, diverse student population in all its programs. For more information on the Gina Cody School of Engineering and Computer Science, please visit: www.concordia.ca/ginacody.
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 candidates, 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 application.
All qualified candidates are encouraged to apply; however Canadians 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 applicants 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
Concordia University is located on unceded Indigenous lands. The Kanien’kehá:ka Nation is recognized as the custodians of the lands and waters on which we gather today. Tiohtiá:ke/Montreal is historically known as a gathering place for many First Nations. Today, it is home to a diverse population of Indigenous and other peoples. We respect the continued connections with the past, present and future in our ongoing relationships with Indigenous and other peoples within the Montreal community.
Full details of the ad can be view at: https://www.concordia.ca/ginacody/about/jobs.html