Senior Research Specialist

4 weeks ago

Princeton, New Jersey, United States Princeton University Full time

Senior Research Specialist

US-NJ-Princeton

Job ID:
Type: Full-Time
# of Openings: 1

Overview

The Empirical Study of Conflict (ESOC) Project seeks a Research Specialist to provide quantitative research support for a multi-university team of researchers.

The term of this appointment is 1 year, with the possibility of renewal based upon satisfactory performance and funding. Applications will be reviewed on a rolling basis.



Responsibilities

Under the direction of the Principal Investigator, the Specialist will help develop and analyze data on malign influence campaigns, the use of social media by elites, the political risks posed by generative AI, and the broader impacts of online platform content moderation politics.

This position will also include responsibility for supervising a 10-week bootcamp ) for two pre-doctoral students engaged in a specialty fellowship at Princeton meant to strengthen data science skills in R, Python and Stata. Specific related duties include evaluating homework and answering questions as the fellows work through the program, averaging 4 hours per week for a total of 10 weeks.



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.

Essential Requirements include:

  • BA or more advanced degree, preferably in social science or statistics, or equivalent work experience
  • Proficiency with R and/or Python. Candidates are expected to be familiar with data munging tasks such as transformations, visualizations
  • Academic experience conducting micro-economic and statistical analysis
  • 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

Preferred Qualifications:

  • Masters degree in Data Science, Economics, or Statistics
  • Two years or more experience working on applied machine learning projects
  • Experience with automated scraping of data from websites
  • Experience working with Large Language Models (LLMs), including prompt engineering
  • Familiarity with cloud computing
  • Experience with impact evaluation projects involving randomized trials or matched control designs, need not be in an academic setting

Requirements:

Applications will be reviewed on a rolling basis and as such we encourage applicants to apply early. Short-listed applicants will be contacted for an interview and may be asked to complete a coding exercise. Selected candidates will be required to successfully pass a background check.

Candidates should upload the following as a SINGLE PDF:
(Upload to the "Other Documents" field in the online application.)

  1. Cover letter and resume
  2. List of three references
  3. Transcripts from all previous academic programs

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. KNOW YOUR RIGHTS



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