Assistant Professor

Virginia Tech

Blacksburg, Northern (VA, KY)

Hybrid

USD 90,000 - 130,000

Full time

3 days ago
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Job summary

Virginia Tech’s Pamplin College of Business invites applications for a tenure-track Assistant Professor in the Department of Business Information Technology (BIT), starting August 2027. The BIT major includes DSS, OSM, and CMA, with opportunities to teach and research across these options and to contribute to student mentoring and program development.

Qualified candidates will hold a doctorate in IS/IT/OM/MS or related field, show research excellence and a strong commitment to teaching, service,

Qualifications

  • Earned doctorate in IS/IT/OM/MS or closely related field.
  • Evidence of teaching ability and mentoring.
  • Active research agenda with publications in leading journals.
  • Commitment to departmental, college, and university service.

Responsibilities

  • Teach in BIT major options (DSS, OSM, CMA) and contribute to curriculum development.
  • Pursue research aligned with data analytics, supply chain resilience/optimization, or cybersecurity risk.
  • Engage in departmental, college, and university service activities.

Skills

Teaching experience
Research ability
Communication and collaboration

Education

Doctorate in information systems/information technology/operations management/management science or related field

Job description

Job Description

The Department of Business Information Technology (BIT) in the Pamplin College of Business at Virginia Tech invites applications for a tenure-track Assistant Professor position beginning August 2027. The BIT major includes three degree options: Decision Support Systems (DSS), Operations and Supply Chain Management (OSM), and Cybersecurity Management and Analytics (CMA). Candidates should have an appropriate academic background and expertise to teach courses and pursue research in one or more of these degree options. Candidates whose research agenda extends or intersects with the department's core strengths, such as data analytics and decision science, supply chain resilience and optimization, or cybersecurity risk and governance, are especially encouraged to apply. Successful candidates will also bring a strong commitment to student-centered teaching and mentoring, and will be expected to contribute to departmental, college, and university service.

Virginia Tech is an equal opportunity and affirmative action employer. Women, underrepresented minorities, individuals with disabilities, and protected veterans are strongly encouraged to apply. The Pamplin College of Business is committed to strengthening its position as a research-active college by recruiting faculty whose scholarship advances the leading edge of business analytics, supply chain management, and cybersecurity. We invest in research infrastructure, seed funding for emerging scholars, and collaborative ties with industry and government partners in the region's growing technology corridor. Over the past decade, the college has expanded its doctoral and research programs, and we continue to prioritize hires whose work can generate high-impact publications, attract external funding, and shape the direction of these fields as they evolve. Alongside this research mission, Pamplin sustains a strong tradition of undergraduate and graduate instruction and provides meaningful support for teaching development, curriculum innovation, and student mentorship.

Required Qualifications

Qualifications include an earned doctorate in information systems, information technology, operations management, management science, or a closely related field, and evidence of prior teaching experience in one of these areas. A successful candidate is expected to demonstrate a commitment to excellence in research, evidenced by publications in leading journals in their field of expertise, along with strong evidence of teaching ability and a commitment to student mentoring. In addition, faculty members are expected to engage in departmental, college, and university service activities, including committee work, program development, and support of student organizations. To qualify, candidates must have excellent communication and collaboration skills, an interest in developing and pursuing innovative curricula, and a strong interest in developing a high-quality research agenda.

Preferred Qualifications

Expertise in artificial intelligence, machine learning, emerging technologies and ethics.

Overtime Status

Exempt: Not eligible for overtime

Appointment Type

Regular

Salary Information
Hours per week

40

Review Date

10/4/2026

Additional Information

The successful candidate will be required to have a criminal conviction check.

About Virginia Tech

Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands‑on, transdisciplinary approach to preparing scholars to be leaders and problem‑solvers. A comprehensive land‑grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.

Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.

Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.

If you are an individual with a disability and desire an accommodation, please contact Adrienne Sable at asable@vt.edu during regular business hours at least 10 business days prior to the event.

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