Predoctoral Researcher

PREDOCTORAL RESEARCHER:
Economics

The role supports work at all stages of the research process on projects in economics and applied machine learning / artificial intelligence. Predoctoral Researchers will engage directly in the research process, implementing complete project pipelines covering data processing, machine learning, and statistical inference. They will work on research projects with Professors Sendhil Mullainathan and Ashesh Rambachan along with their co‑authors at MIT, the University of Chicago, Harvard University and other institutions.

The role entails close collaboration on projects that integrate machine learning / artificial intelligence and economics, as part of Bike Shop@MIT, an interdisciplinary lab that builds algorithms to improve people and the world.

• Minimum of a bachelor's degree in economics, computer science, mathematics, statistics, or a related field.
• Minimum of two years of specialized experience with qualitative data analysis, research methods, and social sciences (including experience gained as an undergraduate).
• Strong analytical/coding skills; quantitative and programming skills in Python and R.
• Strong time and project management skills, excellent attention to detail, and strong communication skills.

• Enthusiasm for developing or applying cutting‑edge machine learning methods to understand or find solutions to real‑world problems.