Summary:
The Department of Applied Mathematics at Delft University of Technology is inviting applications for a PhD candidate to advance research in dependence models, especially focusing on copula-based statistical models. This position offers a unique opportunity to contribute to innovative methodologies applicable in finance, health, and other fields.
PhD Position in Mathematical Statistics at Delft University of Technology, Netherlands
Designation:
PhD Candidate in Mathematical Statistics
Research Area:
- Dependence Models
- Copula-Based Statistical Models
- Financial Applications
- Information Geometry
Location:
Delft University of Technology, Netherlands
Eligibility/Qualification:
- MSc degree in Mathematical Statistics or equivalent
- Experience with R programming; familiarity with C++ is a plus
- Strong mathematical skills
- Fluent in English (spoken and written)
Job Description:
The PhD research consists of three main projects:
- Conditional Copulas: Investigate the influence of variables on the dependence between key financial assets.
- Information Geometry for Copulas: Develop geometrical insights into copula distributions.
- Pair-Copula Bayesian Networks (PCBNs): Integrate discrete random variables and devise learning algorithms for improved statistical inference.
Successful candidates will engage in groundbreaking research in a collaborative environment.
Table of Details:
| Category | Details |
|---|---|
| Position Type | PhD Candidate |
| Salary Range | €3059 – €3881 gross per month |
| Employment Duration | 4 years (initial 1.5 years with performance assessment) |
| Work Hours | 38 hours per week |
How to Apply:
Interested candidates should submit their application online by uploading the following documents:
- CV
- Motivational letter
- Academic transcripts (BSc and MSc)
Address applications to: Dr. Alexis Derumigny at a.f.f.derumigny@tudelft.nl.
Last Date for Apply:
June 14, 2026
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