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