Princeton University - Princeton, NJ
posted 6 months ago
The Center for Statistics and Machine Learning at Princeton University is seeking a Computational Research Analyst to engage in research focused on aggregated decision-making through rule systems. This role encompasses a variety of tasks, including the examination of electoral mechanisms such as the Electoral College, redistricting, and voting rules. The primary objective of the Computational Research Analyst will be to develop computational analyses of redistricting and voting rules, aiming to identify performance characteristics and inefficiencies within the U.S. democratic system. The findings from this research will be disseminated through peer-reviewed scientific publications and made accessible via publicly available databases, catering to a diverse audience. A significant responsibility of this position will involve the updating and maintenance of a comprehensive resource dedicated to Congressional and legislative redistricting. This includes the dissemination and archival of codebooks, scripts, map content, and analytics. The role will also require investigating electoral rules, such as ranked-choice voting, to quantify their functional impacts. An essential aspect of the job will be translating complex findings into content that is comprehensible to non-technical audiences, contributing to broader scholarship in scientific, statistical, and legal journals. The ideal candidate will possess graduate or postgraduate-level expertise in relevant fields, including computational simulation, model testing, and geospatial analysis. This appointment is for a term of one year, with the potential for renewal based on performance and funding availability.
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