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Tenure-track Faculty Position in Data Analysis and Quantitative Methods

  • Quebec, QC, Canada

Full-time

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Job details

Job type
Full-time
Posting language
English
Posted

Original job description

General information

More than a school, Université Laval is an entire community in the heart of Quebec City, a complete university recognized for its culture of excellence both in teaching and research.

Job Description

The ideal candidate for this position possesses scientific and professional skills in probability and statistics, data analysis and quantitative methods applicable to operations management and decision systems, or a related field. Skills in statistical and probabilistic foundations of data analysis and applied statistics in management are required. Additionally, expertise in optimization, predictive or prescriptive analytics is considered an asset. The candidate is actively engaged in research, has a strong publication record, possesses a good understanding of management and organizations, and has an interest in teaching statistics and quantitative methods for business.

Candidates for this position must hold a Ph.D. in the relevant field before the start date or, exceptionally, obtain it within the following year. As teaching activities are conducted in French, the selected person must be able to teach in French within a maximum period of two years after the start date. Responsibilities include research and teaching of quantitative methods at the undergraduate, master's, and doctoral levels.

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Selection criterias

The candidate must

  • Hold a Ph.D. before the start date or, exceptionally, during the following year.
  • Demonstrate excellent research ability and research interests compatible with those of the Department of Operations and Decision Systems, and provide a strong publication record and a statement of future research.
  • Be capable of teaching at all three levels, supervising doctoral theses, master's theses and essays, participating in industry internships, grant applications, and continuing education activities.
  • Be able to teach in French within a maximum period of two years after the start date.
  • Demonstrate, during a presentation of their work to department members, the ability to effectively communicate the results of their research in data analysis and quantitative methods, explaining their scientific significance and contribution to organizational management.
  • Demonstrate, during a presentation to department members, the ability to deliver pedagogically sound teaching in data analysis and quantitative methods.
  • Have a good understanding of management and organizations.

Conditions

Conditions

Full-time position

Rank Adjunct, Assistant or Associate Professor

Salary according to the current collective agreement

Additional information

For more information on research activities related to the position, candidates are encouraged to visit the website of the Department of Operations and Decision Systems.

Candidature

Application deadline November 20, 2026

Job starting date June 1, 2027

The competition is open until November 20, 2026. If no suitable candidate is found by this date, the competition will remain open until the position is filled.

Interested individuals should submit an application package to

Paolo Landa, Department head

Department of Operations and Decision Systems

Faculty of Business Administration

Laval University

Pavillon Palasis-Prince

2325 rue de la Terrasse, 2507A

Quebec City, Quebec G1V 0A6

Canada

Tel 418 656-2884

Documents can be sent electronically to osd@osd.ulaval.ca. The application package must include a copy of the three most relevant publications, a statement of future research, copies of acquired degrees, a letter of intent, and a detailed curriculum vitae outlining experience, publications, and ongoing research. Two letters of reference must also be sent directly to the department. All applications will be treated in strict confidence.

Valuing equity, diversity and excellence, Université Laval is strongly committed to provide an inclusive work and living environment for all its employees. For Université Laval, diversity is a source of wealth, and we encourage qualified individuals of all origins, sexes, sexual orientations, gender identities or expressions, as well as persons with disabilities, to apply.

Université Laval also subscribes to an equal access to employment program for women, members of visible or ethnic minorities, Aboriginal persons and persons with disabilities. Adaptation of the selection tools can be offered to persons with disabilities according to their needs and in complete confidentiality. In accordance with Canadian immigration requirements, priority will be given to qualified individuals with Canadian citizenship or permanent residency.

Université Laval has been named Canada’s Best Employer for 2026 by Forbes.

Workplace

Department of Operations and Decision Systems

Faculty of Business Administration

Numéro d'offre 17779

Job posting period Du 27-07-2026 au 20-11-2026

More about this job

Responsibilities

Conduct research and teaching in quantitative methods at undergraduate, master's, and doctoral levels. Supervise theses, participate in industry internships, and apply for research grants.

Requirements

Candidates must hold a Ph.D. in a relevant field and demonstrate a strong research and publication record. Proficiency in teaching in French within two years of starting is required.

Skills

  • Probability
  • Statistics
  • Data Analysis
  • Quantitative Methods
  • Operations Management
  • Decision Systems
  • Optimization
  • Predictive Analytics
  • Prescriptive Analytics
  • Research
  • Teaching
  • Academic Supervision
  • French Language Proficiency

Visa sponsorship

Not detected in the job text

Hiring contact

Paolo Landa

Categories

  • Education
  • Data & Analytics
  • Science & Research
  • Management & Leadership

Keywords

  • Data Analysis
  • Quantitative Methods
  • Probability
  • Statistics
  • Operations Management
  • Decision Systems
  • Optimization
  • Predictive Analytics
  • Prescriptive Analytics
  • Higher Education
  • Academic Research
  • Management
  • Business Administration

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