Tenure-Track Position in Machine Learning and Artificial Intelligence
Last updated: October 6, 2020, 10:20 a.m.
Job title: Faculty Position in Machine Learning and Artificial Intelligence
Position code: 20_T_CSSE_M
Date posted: October 6, 2020
Application deadline: January 5, 2021
Advertised until: Position is filled
The Department of Computer Science and Software Engineering invites applications for a tenure-track position in machine learning, reinforcement learning, deep learning, natural language processing, and artificial intelligence and its applications. Outstanding candidates in related research areas will also be considered. The selected candidate will join a growing group of recent hires in the area of artificial intelligence. The selected candidate will be appointed at the rank of Assistant Professor, but exceptional candidates at the Associate Professor level may also be considered.
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. Commensurate with their rank, candidates will be assessed on their demonstrated potential to attract diverse students and collaborators to Concordia University, conduct internationally recognized research, secure research funds, as well as teach and drive curricular development within their respective area.
Qualifications and assets
Applicants must hold a PhD in Computer Science or a closely related field. Membership or eligibility for membership in a Canadian professional engineering association, preferably in Quebec, is required. The candidate will conduct independent scholarly research, attract strong external funding and demonstrate industrial application of their research activities. The successful candidate is expected to demonstrate a strong commitment to the supervision of MASc and PhD students, and to excellence in teaching at both the graduate and undergraduate levels. The language of instruction at Concordia is English, however, knowledge of French is an asset.
How to apply
Applications should be addressed to: Lata Narayanan, Professor and Chair (email: firstname.lastname@example.org) and must include a cover letter clearly identifying the title and position code 20_T_CSSE_M, a detailed curriculum vitae, teaching and research statements, and the names and contact information of four referees. Electronic applications should be submitted by January 5, 2021 but will continue to be reviewed until the position is filled. Only short-listed candidates will be notified. The appointment is expected to commence in July 2021 or shortly thereafter.
Concordia strives to be an inclusive institution that is welcoming of diverse backgrounds and experiences in order to improve learning, advance research, inspire creativity, and drive productivity. We define diversity broadly to include both ethnic and socio-cultural background and diversity of perspectives, ideologies and traditions.
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 conduct innovative research and 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
- conducting research with underrepresented and/or underserved communities
- committee work
- offering or organizing educational programming
- participation in training and workshops
Concordia University recognizes the potential impact that career interruptions can have on a candidate’s record of research and will take them into careful consideration in assessing applications and throughout the selection process.
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 email@example.com or by phone at 514-848-2424, extension 4323.
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.
The Gina Cody School of Engineering and Computer Science is ranked among the top 10 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.