Dear all, I forward the announcement of this PhD position in Zurich, under the supervision of Delia Coculescu. Application link: https://apply.mnf.uzh.ch/positiondetails/57671686 Best, Claudio Fontana ---------------------------------------------------------------------------- PhD Position in Financial and Insurance Mathematics Chair of Quantitative Risk Analysis Department of Mathematical Modeling and Machine Learning (DM3L) University of Zurich The Chair of Quantitative Risk Analysis at the Department of Mathematical Modeling and Machine Learning is inviting applications for a PhD position in Financial and Insurance Mathematics. The successful candidate will be associated with the Zurich Graduate School of Mathematics and will work on research topics at the intersection of stochastics, financial and insurance applications, and machine learning. The doctoral thesis will focus on questions related to nonlinear pricing and model risk in finance and insurance. Possible research directions include the mathematical analysis of pricing and risk measurement under uncertainty, robust and nonlinear valuation methods, contagion models, and the use of machine learning techniques in financial and actuarial modeling. We are looking for a highly motivated and talented candidate with a strong background mathematics, in particular probability theory and stochastic analysis, and mathematical finance. The candidate should be interested in developing rigorous mathematical methods while remaining open to applications in finance, insurance, and data-driven modeling. The position is funded for 4 years, starting from September 2026. Candidate profile Applicants should have: * A Master’s degree, or equivalent qualification, in stochastic analysis, mathematical finance, or a closely related field. * A solid background in probability theory, stochastic processes, stochastic analysis, or financial mathematics. * An interest in financial and insurance applications. * Openness to working at the interface of mathematics, finance, insurance, and machine learning. * Strong analytical skills and motivation for independent research. Research environment The candidate will join the Chair of Quantitative Risk Analysis and become part of a stimulating research environment within DM3L and the Zurich Graduate School of Mathematics. The position offers the opportunity to work on mathematically rigorous and practically relevant problems in financial and insurance mathematics. Applications should include a CV, academic transcripts, a brief statement of research interests, and the names of 2 potential references. For further information or sending an application, please contact: Prof. Delia Coculescu Chair of Quantitative Risk Analysis Department of Mathematical Modeling and Machine Learning https://dm3l.uzh.ch/workgroup/coculescu delia.coculescu@math.uzh.ch