Details
Title | Pre-Doctoral Fellowship (Prof Gabaix) |
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School | Faculty of Arts and Sciences |
Department/Area | |
Position Description | Professor Xavier Gabaix seeks a highly skilled and motivated individual to work as a full-time predoctoral fellow for a period of at least one year. The preferred start date is August 1, 2024 although earlier or later start dates may be feasible, including starting this academic year. We’re looking for two types of predoctoral fellows:
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. |
Basic Qualifications | 1. At least a BA or Masters in related field(s). 2. Strong programming and quantitative skills. 3. Interest in pursuing PhD program in Economics or Finance (strongly preferred). |
Additional Qualifications | |
Special Instructions | |
Contact Information | Shree Manari |
Contact Email | [email protected] |
Equal Opportunity Employer | We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law. |
Minimum Number of References Required | |
Maximum Number of References Allowed | |
Keywords |
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