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Jorge M. Mendes

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PhD in Mathematical Statistics: Copula-Based Models, Dependence Modelling and Bayesian Networks at TU Delft Delft University of Technology in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

Netherlands

University

Delft University of Technology

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Keywords

Computer Science
Environmental Science
Mathematics
Finance
Hydrology
Salud Pública
R Programming
Insurance
Mathematical Statistics
Economics
Statistics

About this position

PhD opportunity in Mathematical Statistics at Delft University of Technology (TU Delft), Department of Applied Mathematics.

The project focuses on dependence modelling, copulas, conditional dependence, information geometry, and Bayesian networks. The successful candidate will work on new theory and methodology for copula-based statistical models, with applications in finance, risk management, insurance, hydrology, and health.

This is a strong fit for candidates with a background in mathematical statistics, probability, or applied mathematics, and with solid R programming skills. The post is described as an excellent opportunity for MSc graduates seeking a rigorous PhD project in a leading international research environment.

Institution: Delft University of Technology, The Netherlands.

Deadline: 14 June 2026.

How to apply: Use the application link provided in the post and submit your application through the TU Delft careers portal before the deadline.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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