Job title: Assistant Professor, Applied Machine Learning in Industrial Engineering
Position code: 22_T_Q_MIAE_O
Date posted: October 17, 2023
Application deadline: November 30, 2023
Advertised until: Position is filled

Position description

The Department of Mechanical, Industrial & Aerospace Engineering at Concordia University invites applications for two tenure-track positions in the area of applied machine learning in industrial engineering. Research and teaching interests may include but are not limited to: reinforcement learning, deep learning, digital and intelligent manufacturing, smart logistics and supply chain management, big data analytics, healthcare analytics, and intelligent maintenance, or similar disciplines. 

Duties include research, teaching at both the graduate and undergraduate levels, and service to the institution. The selected candidates will join a dynamic research group in industrial engineering and digital intelligence. These are tenure-track positions at the rank of Assistant Professor, but exceptional candidates at the Associate Professor level may also be considered.

Qualifications and assets

Candidates must possess a bachelor’s degree in an engineering field and have completed a PhD degree in industrial engineering, operations research, computer science or similar disciplines, 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. 

Candidates are encouraged to share any career interruptions or personal circumstances that may have had an impact on their career goals in their letter of application. These will be carefully considered in the assessment process. The Department values diversity among its faculty and strongly encourages applications from women and members of underrepresented groups. Concordia University is an English-language institution of higher learning at which the primary language of instruction and research is English. Since this position supports academic functions of the university, proficiency in English is required. Working knowledge of French, including reading and grading student work in French, is an asset.         

How to apply

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 

or 

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

Applications should be addressed to: Dr. Martin Pugh, Professor and Chair and sent via email to: Ms. Tina De Stefano assistant-to-chair@mie.concordia.ca

Applications must include the following:

• Cover letter clearly identifying the title and position code (22_T_Q_MIAE_O),

• Detailed curriculum vitae, 

• Teaching statement,

• Research statement,

• Names and contact information for four referees. 

Electronic applications should be submitted by November 30, 2023, but will continue to be reviewed until the position is filled. Only short-listed candidates will be notified. The appointment is expected to commence on August 1, 2024, 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. 

Possible examples to demonstrate a diverse experience may include, but are not limited to: 

• teaching about underrepresented populations 

• community-based research

• mentoring students from underrepresented backgrounds 

• 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.

Adaptive measures

Applicants who anticipate requiring adaptive measures throughout any stage of the recruitment process may contact, in confidence, Anna Barrafato, Accessibility Change Lead: anna.barrafato@concordia.ca or by phone at 514-848-2424, extension 3511.