OSINT & Media Forensics Analyst

CLEMU Clemson University

Clemson (SC)

On-site

USD 45,000 - 65,000

Full time

4 days ago
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Job summary

Clemson University in Clemson, SC is seeking an Analyst to support the expansion of the Media Forensics Hub, specializing in open-source investigation and the analysis of coordinated inauthentic information operations. The role involves building reports, identifying threats, and ensuring quality control across analysis cycles.

Required qualifications include a high school diploma (bachelor's degree may substitute), familiarity with OSINT and programming basics in Python or R, and strong

Qualifications

  • High school diploma; a bachelor's degree or higher may substitute required experience.
  • Familiarity with OSINT methods and investigative techniques is preferred.
  • Basic programming knowledge in Python or R is a plus.
  • Strong analytical and reporting skills are essential.

Responsibilities

  • Participates in analysis, assists with design, and tests computer and analytic systems.
  • Conduct open-source investigations to identify and document coordinated inauthentic behavior across digital platforms.
  • Suggests improvements to services and processes; prepares forms, diagrams, and other documentation.
  • Monitor and assess the impact of disinformation campaigns on public discourse and targeted audiences.

Skills

Analytical thinking
Communication skills
Foreign language
Disinformation awareness

Education

Bachelor's degree in related area

Tools

Python
R
Geolocation tools
OSINT tools

Job description

Clemson University in Clemson, SC is seeking an Analyst to support the expansion of the Media Forensics Hub, specializing in open-source investigation and the analysis of coordinated inauthentic information operations. The role involves building reports, identifying threats, and ensuring quality control across analysis cycles.

Required qualifications include a high school diploma (bachelor's degree may substitute), familiarity with OSINT and programming basics in Python or R, and strong

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