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Postdoctoral Research Associate

University of North Carolina- Chapel Hill

NC-Chapel-Hill, NC · HybridResearchSeen 1w agoSeen in employer's feed 4 days ago

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At a glance

Compensation
No compensation found
Location
NC-Chapel-Hill, NCHybrid
Role Type
Research
Work Authorization
Not specified

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Job overview

The Center for Innovation and Sustainability in Local Media seeks a postdoctoral researcher to help lead applied research on the future of local journalism. The role supports projects on local news sustainability, innovation, and civic impact, including artificial intelligence, audience behavior, and business models. The researcher contributes to study design, IRB development, data collection and analysis, reports, and scholarly publications, collaborating with faculty, students, and external media partners.

Skills & qualifications

RequiredNice to have

Skills

Local News ResearchMedia EconomicsJournalism InnovationArtificial IntelligenceCivic Information

Qualifications

Research Expertise in Local News, Media Economics, Journalism Innovation, Artificial Intelligence, Civic Information, or Related Areas

Full job description

Vacancy ID: PDS004994

Position Summary/Description:

The Center for Innovation and Sustainability in Local Media (https://www.cislm.org/) seeks a postdoctoral researcher to help lead applied research on the future of local journalism. The position will support projects examining the sustainability, innovation and civic role of local news, including the impact of artificial intelligence, changing audience behavior and new business models. The researcher will contribute to study design, IRB development, data collection and analysis, reports and scholarly publications, and will work with faculty, students and external media partners to translate findings into useful tools and insights for the field.

This position may be eligible for hybrid work schedule. Employees are generally required to reside in North Carolina, within a reasonable commuting distance of their assigned duty station.

Education and Experience:

  • Demonstrated research expertise in local news, media economics, journalism innovation, artificial intelligence, civic information, or related areas.

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