Predoctoral Technical Associate

Skills

About the Role

You will support empirical research on the economics of artificial intelligence. You will acquire, construct, clean, and analyze large administrative datasets; develop empirical designs; estimate results; and contribute to research writing. You will build scalable data pipelines and code infrastructure, work in secure computing environments, and communicate findings through research activities and discussions.

Requirements

• Complete a four-year undergraduate degree and/or a master's degree in a quantitative field by the appointment start date.
• Demonstrate a strong quantitative background, including econometrics and proof-based mathematics.
• Demonstrate exceptional programming skills in Python and R.
• Demonstrate experience cleaning, merging, and validating large, messy datasets.
• Work independently and structure open-ended problems.
• Communicate results clearly in writing and conversation.
• Demonstrate interest in the economics of AI, technological change, productivity, or a related area.
• Demonstrate critical thinking when using and integrating large language models.
• Have legal authorization to work in the United States for the appointment duration.

Responsibilities

• Acquire and construct research data.
• Clean, merge, validate, and analyze large administrative datasets.
• Develop measurement approaches and empirical research designs.
• Estimate empirical models.
• Build data pipelines and code infrastructure for large-scale research.
• Work in secure research computing environments.
• Contribute to research writing.
• Collaborate across all stages of the research process.