S
Stony Brook University • United States

Assistant/Associate Professor of Practice / Lecturer in Analytics – Stony Brook University

IN THE FIELD OF
SALARY

As per university norms

POSTED ON
17/10/2026
LAST DATE
05/11/2026
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ABOUT THIS POSITION

Faculty Opportunity: Assistant/Associate Professor of Practice / Lecturer in Analytics – Stony Brook University

  • Institution: Stony Brook University

  • College: College of Business

  • Academic Area: Operations and Decision Analytics

  • Position: Assistant/Associate Professor of Practice / Lecturer in Analytics

  • Interfolio ID: 195203

  • Appointment Type: Full-Time, Non-Tenure Track

  • Location: Stony Brook, New York, United States

  • Expected Start Date: Fall 2027

  • Salary / Remuneration: Not specified in the advertisement

  • Open Date: October 8, 2026

  • Application Deadline: November 5, 2026 at 11:59 PM Eastern Time

  • Final Closing Status: Applications may continue to be accepted until the position is closed

  • Visa Sponsorship: Applicants must be eligible to work in the United States without visa sponsorship


Overview of the Role

The College of Business at Stony Brook University invites applications for a full-time, non-tenure-track Assistant/Associate Professor of Practice / Lecturer position in Analytics beginning in Fall 2027.

The position is housed in the Operations and Decision Analytics area and involves undergraduate and graduate teaching, scholarly activity appropriate to rank, student mentoring, industry engagement, and academic service.

The successful candidate will contribute to teaching in areas such as Business Analytics, Machine Learning, Operations Management, Information Systems, and related disciplines.


Key Responsibilities

The successful candidate will:

  • Develop and teach undergraduate and graduate courses.

  • Teach in areas such as:

    • Business Analytics

    • Machine Learning

    • Operations Management

    • Information Systems

    • Database-related subjects

    • Supply Chain Management

    • Related analytics disciplines

  • Maintain scholarly activity appropriate to academic rank.

  • Publish peer-reviewed research and participate in academic conferences where applicable.

  • Maintain AACSB scholarly-active requirements.

  • Build and strengthen industry connections.

  • Create opportunities for interaction between students, faculty, and industry.

  • Support student internships and case competitions.

  • Organize or support student clubs and extracurricular activities.

  • Participate in committee and administrative assignments.

  • Contribute to assurance-of-learning and AACSB accreditation activities.

  • Support research seminars and College initiatives.


Teaching Load

The expected teaching load differs by appointment:

  • Professor of Practice: 3 courses per semester

  • Lecturer: 4 courses per semester

Teaching may take place across undergraduate and graduate programmes.


Qualification for Professor of Practice

Candidates applying for the Professor of Practice track must have:

  • A Ph.D. or foreign equivalent from an accredited programme in a Business Analytics-related field.

Relevant fields may include:

  • Operations Management

  • Operations Research

  • Information Systems

  • Business Analytics

  • Related disciplines

Candidates should also demonstrate an excellent teaching record in relevant analytics or operations subjects.


Qualification for Lecturer

Candidates applying for the Lecturer track must have:

  • A Master’s degree from an accredited programme in a relevant Business Analytics-related field.

Relevant areas may include:

  • Business Analytics

  • Operations Management

  • Operations Research

  • Information Systems

  • Related disciplines


Required Qualifications

Applicants must demonstrate:

  • Eligibility to work in the United States without visa sponsorship.

  • Strong teaching record in one or more areas such as:

    • Business Analytics

    • Machine Learning

    • Databases

    • Operations Management

    • Supply Chain Management

    • Related subjects

  • Ability to teach through different instructional modalities.


Preferred Qualifications

Preference may be given to candidates with:

  • Experience engaging with industry.

  • Ability to build partnerships with external organizations.

  • Experience collaborating with business stakeholders.

  • Published research in peer-reviewed business journals involving analytics.

  • Potential to produce scholarly research in analytics.

  • Strong record of teaching analytics, machine learning, databases, operations, or supply chain management.


Academic & Industry Engagement

The successful candidate will be expected to help create stronger connections between the College of Business and industry.

Activities may include:

  • Industry partnerships

  • Internship mentoring

  • Case competitions

  • Student clubs

  • Applied analytics initiatives

  • External stakeholder engagement

  • Faculty-industry collaboration


Application Checklist

Applicants should submit:

  1. Cover Letter

  2. Curriculum Vitae

  3. Teaching Philosophy Statement

  4. Service Statement

  5. Teaching Evaluations

  6. Names and Contact Information for Three References

Optional materials include:

  1. Research Statement

  2. Research Papers

Recommendation letters will be requested from finalists.


Nature of Appointment

  • Full-Time

  • Non-Tenure Track

  • Assistant/Associate Professor of Practice or Lecturer

  • Teaching-focused appointment with research and service expectations depending on rank

  • Expected start in Fall 2027


Important Dates

  • Open Date: October 8, 2026

  • Application Deadline: November 5, 2026 at 11:59 PM Eastern Time

  • Expected Start Date: Fall 2027

  • Final Closing Status: Applications may continue until the position is closed


How to Apply

Applications must be submitted electronically through Interfolio.

Application Link:
https://dossier.interfolio.com/apply/195203


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