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for the 2027-28 academic year. Qualifications We invite applications from those who hold a PhD (or equivalent) or expect to complete the requirements for a PhD in finance by July 1, 2027 or soon thereafter. (We
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, Computer Science, Machine Learning, Artificial Intelligence, Engineering, Mathematics, Operations Research, Economics, Finance, or a closely related subject. Preference will be given to candidates with strong
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.) are preferred. The ideal candidate would also have a track record of community engagement and experiential learning that can create value for the department and for student learning experiences. The teaching load
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.) are preferred. The ideal candidate would also have a track record of community engagement and experiential learning that can create value for the department and for student learning experiences. The teaching load
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and problem solving skills to support and enable sound decision making. Excellent technical skills with high proficiency in the analytical application of relevant computer software packages (e.g. Excel
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related field). Decent programming skills, especially in Python or JAX. Familiarity with finance theory (asset pricing, derivative pricing, risk management etc.). Familiarity with machine learning or deep
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Finance at EPFL seeks postdocs to reinforce our research in quantitative finance with a focus on applied machine learning. Main duties and responsibilities Working and collaborating on research projects
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for candidates with a dedication to and success in working in diverse communities. The university is committed to an inclusive learning and work environment that values individual differences and respects each
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for candidates with a dedication to and success in working in diverse communities. The university is committed to an inclusive learning and work environment that values individual differences and respects each
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for candidates with a dedication to and success in working in diverse communities. The university is committed to an inclusive learning and work environment that values individual differences and respects each