Research Specialist II
Department Woodrow Wilson School
Category Research and Laboratory
Full-Time / Part-Time Full-Time
The Empirical Study of Conflict (ESOC) Project seeks a Research Specialist to provide data science, statistical analysis, and qualitative research support to an interdisciplinary team of researchers. This position is ideal for those with Masters degrees seeking an applied research position as well as exceptional graduating seniors with a strong interest in pursuing a PhD in Computational Social Science, Economics, or Political Science after acquiring applied research experience.
This is a one-year position with possibility of renewal contingent on performance and continued funding. The position will be based at Princeton University, with the potential for both domestic and international travel if required.
Applications will be reviewed on a rolling basis.
Applicants should submit a cover letter, C.V., and code sample or link to GitHub page online. Candidates should be prepared to submit references, transcripts, and/or writing samples upon request.
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 politically motivated violence in various countries around the world.
- BA 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.
- Masters degree in Data Science, Economics, or Statistics
- 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
- Familiarity with social media data
The final candidate will be required to complete a background check successfully.
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