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Virginia Tech

Assistant Professor, Multimedia Journalism

Virginia Tech, Blacksburg, Virginia, us, 24062

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Job Description The Virginia Tech School of Communication invites applications for a tenure-track assistant professor whose research and teaching focus on multimedia journalism and on the emergent field of artificial intelligence and its implications on news, information, and democracy. We seek candidates with demonstrated scholarly achievement, or potential for such achievement, aligned with Virginia Tech’s Artificial Intelligence Frontier, with a focus on the human impacts of digital technologies. Candidates should be prepared to teach current courses in the multimedia journalism/sports media & analytics division of the School and contribute to curriculum development, emphasizing emerging technologies and their influences on institutions, content, and audiences. The expected teaching load is two courses per semester. It will be at the main campus in Blacksburg, Virginia.

The School of Communication serves more than 1,000 undergraduate students across five majors and more than 40 graduate students. School’s multimedia journalism, sports media and analytics, and public relations majors are accredited by the Accrediting Council for Education in Journalism and Mass Communication.

How to Apply Screening of applications will begin December 1, 2025. Please submit (1) a curriculum vitae; (2) a cover letter detailing your research experience and anticipated research agenda, teaching experience, philosophy, and strategies, professional experience, and fit with the job description and School; and (3) a list of three references (names, address, phone numbers, and email contacts).

Please direct questions about the position to Megan Duncan, meganducan@vt.edu, School of Communication, Shanks Hall (0311), Blacksburg, VA 24061.

Required Qualifications

Ph.D. in communication or related field at the time of appointment.

Demonstrated potential for scholarly publication and successful teaching.

Potential for the development and maintenance of a nationally or internationally recognized research program.

Ability or interest in mentoring graduate students on research, projects, and theses inthe School of Communication.

Preferred Qualifications

Professional experience in industries related to journalism and mass communication.

Background and research expertise related to artificial intelligence, ethics of emerging technologies, image, video and text generation, blockchain or verification, data mining, content production tools and platforms, human‑AI collaboration, machine learning, large‑language models, or related areas.

Background and research expertise related to news, media ethics, social media and digital platforms, information technology, newsroom sociology, audiences, media entrepreneurship, evolving media structures, politics and democracy, misinformation and disinformation, audience studies, or related areas.

Potential to secure external funding.

Ability to teach students concepts and skills related to multimedia journalism.

University‑level teaching experience.

Overtime Status Exempt: Not eligible for overtime

Appointment Type Regular

Salary Information Commensurate with Experience

Hours per week *

Review Date December 1, 2025

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

Equal Employment Opportunity Statement Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), 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 Sandy Smith at sandy2@vt.edu during regular business hours at least 10 business days prior to the event.

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