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Predoctoral NLP Research Fellowship

Julian Nyarko is an associate professor at Stanford Law School who applies tools from natural language processing and machine learning to legal research questions. This full-time research fellowship provides opportunities to assist Professor Nyarko in his research. The fellowship is aimed at recent graduates who are considering entering a graduate degree program (Ph.D. / JD) in the near future. The inaugural fellow began a Ph.D. at MIT after the fellowship.

Examples of Current Projects

  • Development of methodology and best practices to employ language models for hypothesis testing in the social sciences
  • Legal document parsing and segmentation
  • Unsupervised identification of novel legal ideas and concepts
  • Assessment of overreporting on minority suspects in crime reports issued by the police via social media

Responsibilities

Specific responsibilities can vary over time, but generally include:
  • Conceptualization and implementation of statistical models
  • Collecting, managing, and structuring quantitative datasets
  • Report writing and manuscript preparation

Qualifications

Experience and knowledge of the following is required:
  • A Bachelor’s degree in a relevant field
  • Experience with statistics
  • Programming experience
  • Ability to work under deadlines with general guidance

Experience and knowledge of the following is highly desirable:
  • A Bachelor’s degree in computer science with a background in NLP, a Bachelor’s degree in (computational) linguistics or in symbolic systems
  • A strong, demonstrated interest to conduct academic research in a relevant field
  • Interest in legal research
  • Interest in causal inference and social science
  • Experience with machine learning / deep learning
  • Substantial experience with Python
  • Substantial experience with R