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Irène Gijbels

Top university

1 week ago

PhD Position in Mathematical Statistics: Methodology for Non-Euclidean Data KU Leuven in Belgium

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Feb 16, 2026

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Country

Belgium

University

KU Leuven

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Where to contact

Official Email

Keywords

Computer Science
Mathematics
Risk Assessment
Probability Theory
Python Programming
R Programming
Mathematical Statistics
Semiparametric Methods
Computational Statistics
High-dimensional Data
Statistics
Statistical Modelling
Applied Mathematic
Methodologie

About this position

This PhD position at KU Leuven offers an exciting opportunity to join a vibrant research group specializing in mathematical statistics. The successful candidate will work within the ORSTAT research group at the Faculty of Economics and Business, as well as the Statistics and Risk section of the Department of Mathematics, Faculty of Science. The project focuses on developing innovative statistical methodologies for data that reside in non-Euclidean spaces, such as circles, hyperspheres, and tori. These types of data are prevalent in various applications, including wind direction analysis and animal movement studies, and often involve a mix of Euclidean and non-Euclidean data, sometimes in high-dimensional settings.

The research aims to create flexible, semiparametric or nonparametric statistical methods for directional data, avoiding overly restrictive assumptions. The project is ideal for candidates interested in the mathematical foundations of statistics and the development of new methodologies with strong theoretical support. Practical implementation is a key component, so experience with computational tools and programming languages such as R or Python is highly valued.

Applicants must hold a Master's degree in Statistics, Mathematics, Applied Mathematics, Economics, Business Engineering, Civil Engineering, or Computer Science, with at least the grade of distinction. Students in their final year of a Master's program are also encouraged to apply. Proficiency in written and spoken English is required. The position is fully funded for four years, with annual contract renewals contingent on positive evaluations. The research environment is international and dynamic, with supervision from Professors Irène Gijbels and Gerda Claeskens, both recognized for their expertise and international networks.

To apply, candidates should submit a motivation letter, CV, transcripts of grades, and contact information for 2–3 references. The application deadline is February 16, 2026. For further information, applicants may contact Prof. dr. Irène Gijbels ([email protected]) or Prof. dr. Gerda Claeskens ([email protected]). KU Leuven is committed to diversity, inclusion, and equal opportunity, fostering a respectful and supportive academic environment for all.

For more details and to apply, visit the official application page.

Funding details

Available

What's required

Candidates must hold a Master's degree in Statistics, Mathematics, Applied Mathematics, Economics, Business Engineering, Civil Engineering, or Computer Science, with at least the grade of distinction. Students in their final year of a Master's program may also apply. Applicants should have a strong interest in the mathematical foundations of statistics and in developing new statistical methodology with theoretical support. Skills in computation and implementation (e.g., R, Python) are a plus. Good written and spoken English is required.

How to apply

Submit your application online including a motivation letter, CV, transcripts of grades, and contact information for 2–3 references. Use the provided application link. For questions, contact the listed supervisors by email.

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