Pre-Doctoral Fellowship (Prof Gabaix) – Harvard University, United States

• • “Machine learning” track: you’re very skilled in machine learning, in particular large language models. Ideally, you would have a Masters in computer science, but a strong undergraduate training in computer science is a fine substitute. Knowledge of economics/finance is optional. Still, the position is particularly instructive if you want to pursue a PhD later in economics or finance, or perhaps in computer science.

• “Macro-finance-behavioral” track: you need to be analytically very strong, and good at programming (e.g. Python). Topics will cover macro-finance, and behavioral theory. The fellow will be actively involved in all stages of research, including brainstorming, proofreading, literature reviews, data search and curation, data analysis, programming. You aspire to do a PhD in economics / finance later.

For the style of research involved in the “Machine learning” track, see the paper “Asset Embeddings ” at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4507511 . The research is joint with Ralph Koijen, Robert Richmond and Moto Yogo from U. Chicago, NYU and Princeton. For the “Macro-finance-behavioral”, see recent papers at https://scholar.harvard.edu/xgabaix/publications
The fellow will also be an active participant in the Harvard University research community. The fellowship includes opportunities to develop a research agenda in related topics, to attend seminars, and to take some courses.
The position is the ideal training ground for a recent graduate who is interested in pursuing a PhD in Economics. Compensation is competitive, typically over USD 55,000/year.
Alumni of this RA-ship have been admitted to top PhD program, such at Harvard, MIT, Princeton, Stanford.
*The position is fully paid, and a visa can be arranged. Application review will continue after this date until the position is filled. Application review will continue after this date until the position is filled.