Research Specialist II

New Jersey, United States
Tuesday, 22 September 2020
End of advertisement period
Sunday, 22 November 2020
Contract Type
Full Time

Department   Schl of Public & Int'l Affairs
Category   Research and Laboratory
Full-Time / Part-Time   Full-Time


The Empirical Study of Conflict (ESOC) Project seeks a Research Specialist to provide  statistical analysis as well as qualitative research for a multi-university team of researchers.


The Specialist will help to develop and analyze data on malign influence campaigns (e.g. COVID-19 related misinformation or the various online disinformation campaigns during the 2016 US elections). The Specialist will also contribute to research projects on China's Belt and Road Initiative and politically motivated violence in various countries around the world.



  • Masters or more advanced degree, preferably in computer science, data science, economics, engineering, or statistics or equivalent work experience
  • Experience conducting either micro-economic and statistical analysis or machine learning tasks
  • Proficiency with R or Python including database queries and working with servers, though candidates with exceptional Stata skills will be considered
  • Excellent writing and analytical skills
  • Evidence of ability to take the initiative in solving practical research problems
  • Ability to work independently and to adjust to rapidly changing needs of researchers


  • Two years or more experience working on applied machine learning projects.
  • Familiarity with SQL or other database systems.
  • Candidates should be familiar with data munging tasks such as transformations and crafting visualizations.
  • Experience with impact evaluation projects involving randomized trials or matched control designs, need not be in an academic setting.
  • Familiarity with the use of ESRI suite of products and Python scripting. Familiarity with SQL or other database systems.
  • Experience with automated scraping of data from websites.
  • Applied experience with machine learning and natural language processing and Familiarity with social media data.

Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW

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