Tenure-Track Assistant Professor - Computational Communication

Villanova University; Lower Merion Township (Montgomery County); On-site; USD 85,000 - 110,000; Full time

Job summary

Villanova University invites applications for a tenure-track Assistant Professor position in Computational Communication to begin Fall 2027. The Department emphasizes quantitative methods, with a 2-2 teaching load in year one and 3-2 in year two, plus sabbatical opportunities in year four.

Candidates must hold a Ph.D. (ABD considered with completion by August 2027) and demonstrate an active research agenda in computational social science, big data analytics, and related areas of communication.

Qualifications

• Terminal degree in Communication (Ph.D.) or allied discipline; ABD considered with completion by August 2027.
• Active, theoretically grounded research agenda using quantitative computational social science and big data analytics to study human communication, media ecosystems, and/or message dynamics.
• Applications across core, applied, or interdisciplinary fields including health, environment, or sports.

Responsibilities

• Teach a 2-2 load in the first year and 3-2 in the second year.
• Pursue an active program of research in one or more indicated areas.
• Supervise student research, advise, and participate in curriculum development and assessment.

Skills

Quantitative research

Big data analytics

Communication theory

Education

Ph.D. in Communication or allied discipline

ABD considered with degree by Aug 2027

Tools

Computational Text Analysis

NLP

Network Science

Machine Learning

Human-AI Interaction

Job description

Villanova University invites applications for a tenure-track Assistant Professor position in Computational Communication to begin Fall 2027. The Department emphasizes quantitative methods, with a 2-2 teaching load in year one and 3-2 in year two, plus sabbatical opportunities in year four.

Candidates must hold a Ph.D. (ABD considered with completion by August 2027) and demonstrate an active research agenda in computational social science, big data analytics, and related areas of communication.