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Non-Renewable Faculty Position in Management Analytics

Non-Renewable Faculty Position in Management Analytics

Smith School of Business at Queen’s University (Kingston, Ontario, Canada) invites applications for a Non-Renewable Replacement position in Management Analytics. The rank is open, with a preferred starting date of as soon as possible. The duration of the position will be approximately 1.5 years (depending on the start).

Qualifications

Candidates must have a PhD or equivalent degree completed at the start of the appointment. The main criteria for selection are academic and teaching excellence. The successful candidate will have a strong record for innovative and high-quality scholarly research leading to top-tier peer-assessed publications and the securing of external research funding, as well as a strong record for outstanding teaching contributions at both undergraduate and graduate levels, and an ongoing commitment to academic and pedagogical excellence in support of the School’s various public and private programs. The successful candidate will be required to make contributions through service to the School, the University, and/or the broader academic community, and contribute to fostering an equitable, diverse and inclusive academic and work environment. Specific areas of teaching expertise that are desirable include: big data analytics and natural language processing.

Compensation

Salary will be commensurate with qualifications and experience. Appointees have access to internal funds both for research and course development through Smith School of Business Research Program and our Faculty Development Fund.

Institution

Queen's University has a long and rich tradition of academic excellence, dating back to a royal charter granted by Queen Victoria in 1841. Smith School of Business is one of the world's premier business schools, with an outstanding reputation for innovation and quality. Our MSc and PhD programs in Management attract highly qualified research-oriented students in many fields of study. Our undergraduate Commerce program has among the highest entrance standards in Canada and is widely viewed as the country's best undergraduate business program. Queen’s has gained international recognition for its MBA and executive education programs and is fully accredited by AACSB and EQUIS. Smith School of Business is also home to centres focused on analytics, corporate governance, entrepreneurship and innovation, and social impact. The learning environment at Queen’s is supported by outstanding library and computing facilities (e.g., https://cac.queensu.ca/) More information can be found at: https://smith.queensu.ca/index.php, and general information about our faculty members is here: https://smith.queensu.ca/faculty_and_research/index.php.

People from across Canada and around the world come to learn, teach, and carry out research at Queen’s University. Faculty and their dependents are eligible for an extensive benefits package including prescription drug coverage, vision care, dental care, long-term disability insurance, life insurance, and access to the Employee and Family Assistance Program. Faculty also participate in a pension plan. Tuition assistance is available for qualifying employees, their spouses, and dependent children. Queen’s values families and is pleased to provide a ‘top up’ to government parental leave benefits for eligible employees on maternity/parental leave. In addition, Queen’s provides partial reimbursement for eligible daycare expenses for employees with dependent children in daycare. Details are set out in the Queen’s-

QUFA Collective Agreement. For more information on employee benefits, see Queen’s Human Resources.

Additional information about Queen’s University can be found on the Faculty Recruitment and Support website. Visit Inclusive Queen’s for information on equity, diversity, and inclusion resources and initiatives.

Management Analytics group at Smith School of Business

The Management Analytics group (formerly, Management Science and Operations Management) is comprised of strong researchers with particular expertise in revenue management and pricing, sustainability, energy markets, supply chain management and the interface of operations and marketing. Group members hold top editorial board memberships and have won multiple prizes and awards.

The Management Analytics group is at the forefront of the Analytics/Big Data/AI revolution with a portfolio of highly successful programs delivered out of the Smith location in downtown Toronto. These include the highly regarded Masters in Management Analytics (MMA, https://smith.queensu.ca/grad_studies/mma/index.php), North America’s first Masters in Management of Artificial Intelligence (MMAI, https://smith.queensu.ca/grad_studies/mmai/index.php), delivered jointly with Geoffrey Hinton’s Vector Institute for Artificial Intelligence (https://vectorinstitute.ai), and multiple Executive Education programs in Analytics. Smith’s world-class ecosystem in Analytics and AI (https://www.youtube.com/watch?v=uwFR-NmAxxA) was awarded the 2020 Informs UPS George D. Smith Prize for Innovation in Higher Education.

The group is also actively involved in industry collaborations, primarily in financial services, through the Scotiabank Center for Customer Analytics, https://smith.queensu.ca/centres/scotiabank/index.php, and is otherwise tightly embedded in Toronto’s booming Analytics/AI scene.

The City

Smith School of Business operates in two locations:

Our main campus is in Kingston, Ontario – a unique Canadian city of 125,000 with a distinct blend of history, recreation, industry and learning. Situated on the traditional territories of the Haudenosaunee and Anishinaabe Peoples, in historic Kingston on the shores of Lake Ontario,  Kingston offers unique waterfront living with many recreational and cultural opportunities. It is within a 2h train ride (~2.5-3h drive) to the commercial, industrial and political hubs of Toronto, Montreal, and the nation’s capital, Ottawa, and a thirty-minute drive from the international bridge linking Ontario and upstate New York. The city is also the origin of the historic Rideau Canal system – a UNESCO International Heritage site. For more information please see: https://www.cityofkingston.ca/explore/about-kingston

Our second location is in downtown Toronto, where much of the Management Analytics group’s activities take place. As demonstrated by various international rankings and reports, Toronto is one of the best cities in the world to live and work. For more information please see: https://www.toronto.ca/city-government/data-research-maps/toronto-progress-portal/world-rankings-for-toronto/

How to Apply

The effective date of the appointment will be August 01, 2021, but is flexible.

Applicants should submit:

  • A cover letter, including one of the two statements regarding Canadian citizenship/permanent resident status specified at the bottom of the page  
  • A current Curriculum Vitae, including a list of publications
  • Evidence of research, including a job market paper or publication and a Research Statement
  • A Statement of teaching interests and experience (including course outlines and evaluations if available) 
  • A Diversity Statement speaking to previous and/or potential contributions to diversity through teaching, research, professional activity, or service
  • Three letters of reference

Deadline for applications: June 18, 2021

The position will remain open until filled.

Submitting your application:

Please submit your application package via Interfolio Faculty Search through the following link: https://apply.interfolio.com/87633 

Applicants are encouraged to submit their applications via the above link, although hard copy applications may be submitted to:

Roshan Udit

Faculty Resource Advisor

Office of the Dean, Smith School of Business

Room 320, Goodes Hall

143 Union Street West

Queen’s University

Kingston, ON

K3L 3N6

CANADA 

If you have any questions regarding the application process, please contact Roshan Udit at roshan.udit@queensu.ca.

Note: only selected candidates will be contacted for interviews.

The University invites applications from all qualified individuals. Queen's is strongly committed to employment equity, diversity, and inclusion in the workplace and encourages applications from Black, racialized/visible minority and Indigenous/Aboriginal peoples, women, persons with disabilities, and 2SLGBTQ+ persons. All qualified candidates are encouraged to apply; however, in accordance with Canadian immigration requirements, Canadian citizens and permanent residents of Canada will be given priority.

The University will provide support in its recruitment processes to applicants with disabilities, including accommodation that takes into account an applicant’s accessibility needs. If you require accommodation during the interview process, please contact: Roshan Udit at roshan.udit@queensu.ca. Academic staff at Queen’s University are governed by a Collective Agreement between the University and the Queen’s University Faculty Association (QUFA), which is posted at https://queensu.ca/facultyrelations/faculty-librarians-and-archivists/collective-agreement and at https://www.qufa.ca.

To comply with Federal laws, the University is obliged to gather statistical information about how many applicants for each job vacancy are Canadian citizens / permanent residents of Canada. Applicants need not identify their country of origin or citizenship; however, all applications must include one of the following statements: “I am a Canadian citizen / permanent resident of Canada”; OR, “I am not a Canadian citizen / permanent resident of Canada”. Applications that do not include this information will be deemed incomplete. Your application cover letter must include one of these two citizenship statements.

In addition, the impact of certain circumstances that may legitimately affect a nominee’s record of research achievement will be given careful consideration when assessing the nominee’s research productivity. Candidates are encouraged to provide any relevant information about their experience and/or career interruptions.