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Tenure-Track Position in Data Analytics

Last updated: September 15, 2022, 1:17 p.m.

Job title: Assistant Professor, Data Analytics
Position codes: 21_T_SCBTM_M
Date posted: August 4, 2022
Application deadline: October 1, 2022
Advertised until: Positions are filled

Position description

This is a tenure-track position in Data Analytics at the rank of Assistant Professor.  Exceptional candidates at the Associate level may also be considered.  Duties include research, teaching at both the graduate and undergraduate levels, and service to the institution.

Qualifications and assets

Candidates must have completed their PhD or be near completion at the start date of the appointment. 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 and the securing of external research funding, as well as strong potential for outstanding teaching contributions at both the undergraduate and graduate levels. 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 is an asset. 

Applicants will demonstrate their ability to teach subjects such as the use of Python, R, Matlab and SAS, Data Mining, Machine Learning, Text Mining, Social Media Analytics, forecasting and others. The selected candidate is expected to do research in the areas of data analytics, artificial intelligence, and other related areas and will be actively involved in curriculum development in Business Data Analytics.

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

Applications should be addressed to: Dr. Rustam Vahidov (scbtm.jmsb@concordia.ca) and must include:

  • cover letter clearly identifying the title and position code (21_T_SCBTM_M);
  • detailed curriculum vitae, including a list of publications;
  • teaching statement;
  • research statement;
  • teaching evaluations, if available and
  • three reference letters. 

Electronic applications should be submitted by October 1, 2022, 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 August 2023.

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.

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.






Territorial Acknowledgement

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.

Employment Equity

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 applications.

Immigration Status

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

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