Post-Doctoral Fellow: Computational Social Science & Harm

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 60,000 - 85,000; Full time

Job summary

A renowned academic institution in Pittsburgh is seeking two Post-Doctoral Associates to engage in computational social science projects. The successful candidates will explore online harms through agent-based modeling and social network analysis. Applicants should hold a PhD in a relevant field and possess programming skills in C and Python. This role offers the opportunity to work with extensive data and contribute to impactful research. Excellent academic writing skills are essential for producing research papers and presentations.

Qualifications

• Must have a PhD in a relevant STEM field, including computational or mathematical social science.
• Ability to program in C and Python.
• Must know basic statistics.
• Experience in social network analysis.
• Experience building and validating agent-based models.
• Excellent writing skills for academic purposes.

Responsibilities

• Work on agent-based simulation and empirical analysis projects.
• Develop and run virtual experiments.
• Analyze existing social media data and document results.
• Write papers with Dr. Carley and present results.

Skills

Programming in C

Programming in Python

Social network analysis

Basic statistics

Agent-based modeling

Education

PhD in STEM Field

Job description

A renowned academic institution in Pittsburgh is seeking two Post-Doctoral Associates to engage in computational social science projects. The successful candidates will explore online harms through agent-based modeling and social network analysis. Applicants should hold a PhD in a relevant field and possess programming skills in C and Python. This role offers the opportunity to work with extensive data and contribute to impactful research. Excellent academic writing skills are essential for producing research papers and presentations.