Research Specialist II
The Empirical Study of Conflict (ESOC) Project seeks a Research Specialist to provide geo-spatial and statistical analysis, as well as qualitative research for a multi-university team of researchers. This is a one-year position with possible extension. Applications will be reviewed on a rolling basis.
Applicants should submit a cover letter and C.V. online. Upon request, candidates should be prepared to submit references, transcripts, and/or writing samples. The final candidate will be required to complete a background check successfully.Responsibilities
Under the direction of the Principal Investigator, the Specialist will help to analyze the impact of economic diplomacy such as China’s Belt and Road Initiative. They may also help 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), as well as contributing to analysis of micro-level data on politically motivated violence worldwide.Qualifications
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 Economics or Political Science after acquiring applied research 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 and Familiarity with social media data.
We at the School of Public and International Affairs believe that it is vital to cultivate an environment that embraces and promotes diversity, equity and inclusion — fundamental to the success of our education and research mission. This commitment to diversity informs our efforts in recruitment and hiring as we actively seek colleagues of exceptional ability who represent a broad range of viewpoints, experiences and value systems, and who share Princeton University's dedication to excellence.
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 LAWStandard Weekly Hours36.25Eligible for OvertimeYesBenefits EligibleYesEssential Services Personnel (see policy for detail)NoPhysical Capacity Exam RequiredNoValid Driver's License RequiredNo#LI-CB1