Publisher
source

Delia Coculescu

3 months ago

PhD Position in Financial and Insurance Mathematics, Quantitative Risk Analysis, and Machine Learning University of Zurich in Switzerland

Degree Level

PhD

Field of study

Computer Science

Funding

Available

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Country

Switzerland

University

University of Zurich

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Keywords

Computer Science
Machine Learning
Mathematics
Finance
Financial Mathematics
Quantitative Finance
Insurance
Insurance Mathematics
Economics
Statistics
Statistical Modelling

About this position

PhD opening in Financial and Insurance Mathematics at the University of Zurich, within the Chair of Quantitative Risk Analysis led by Prof. Delia Coculescu. The project sits at the intersection of mathematics, finance, insurance, quantitative risk analysis, stochastic modelling, and machine learning.

The successful candidate will join the Zurich Graduate School of Mathematics and work in an international research environment on theoretically rigorous and practically relevant problems such as model risk, nonlinear pricing, and machine-learning methods for quantitative finance and insurance.

Applicants should have a strong background in mathematics, probability, and stochastic analysis, and be motivated to develop an independent research profile while collaborating with leading researchers.

Location: Zurich, Switzerland.

Start date: September 2026, or by agreement.

Deadline: Rolling review until the position is filled; early applications are strongly encouraged.

Apply: Use the linked application portal to submit your application materials.

Funding details

Available

What's required

Highly motivated PhD candidate with a strong background in mathematics, probability, and stochastic analysis. Interest in mathematically rigorous and practically relevant research in financial and insurance mathematics, quantitative risk analysis, stochastic modelling, model risk, nonlinear pricing, and machine learning for quantitative finance and insurance.

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