Job ID: 2024-19606 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.
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.)
Cover letter and resume
List of three references
Transcripts from all previous academic programs
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