Postdoctoral research position in mathematical statistics

Karlstad University; Louvain; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A prestigious university in Belgium is offering a one-year postdoctoral research position in mathematical statistics. The successful candidate will be responsible for developing innovative statistical methodologies for contemporary data structures, with particular focus on non-Euclidean spaces. Candidates should possess a relevant doctoral degree, a keen interest in statistical foundations, and computation skills in languages such as R or Python. This role promises a stimulating international research environment and opportunities for professional growth.

Prestations

International research environment

Opportunities for national and international scientific events

Qualifications

• PhD candidates in the final stage can apply.
• Skills in computations and implementation are a plus.

Responsabilités

• Contribute to the development of statistical methodologies for contemporary data structures.
• Work on data from non-Euclidean spaces.
• Participate in a dynamic international research environment.

Connaissances

Nonparametric statistical techniques

Semiparametric statistical techniques

Computation skills (R, Python)

Interest in mathematical foundations

English proficiency

Formation

Doctoral degree in Statistics, Mathematics, Applied Mathematics, Economics, Business Engineering, Civil Engineering, or Computer Science

Description du poste

Postdoctoral research position in mathematical statistics

KU Leuven is an autonomous university. It was founded in 1425. It was born of and has grown within the Catholic tradition.

Within the framework of research projects on Statistical Inference for Contemporary data structures (including directional data), we have a vacancy for a one-year postdoctoral position in Statistics.

The postdoctoral researcher will be part of a very active research group in mathematical statistics, consisting of members of the research group ORSTAT at the Faculty of Economics and Business, and members of the section Statistics and Risk, Department of Mathematics, Faculty of Science.

Responsibilities

The candidate will take part in a research project contributing to the development of new statistical methodologies for contemporary data structures to tackle challenging research questions. The considered data structures include, in particular, data belonging to non-Euclidean spaces (data on a simplex, data on a circle, a hypersphere, a torus, ...). Flexible modelling and inference methods focus on avoiding making too restrictive assumptions, often requiring semiparametric or nonparametric inference techniques.

You will find a very dynamic and pleasant working environment, where research is conducted at the highest international level, with a large international research network.

Profile

• Candidates should have a doctoral degree in Statistics, Mathematics, Applied Mathematics, Economics, Business Engineering, Civil Engineering, or Computer Science, and experience with nonparametric and/or semiparametric statistical techniques.
• Students that are in the last stage towards obtaining a PhD degree can apply.
• Candidates should have a clear interest in mathematical foundations in statistics, and in providing methodology with the necessary theoretical support. The practical implementation of the developed methods is part of the project, and hence skills in computations and implementation (via codes written in open source software, such as R, Python, ...) are a plus.
• An appropriate knowledge of written and spoken English is required.

Offer

• We offer a high-level and exciting international research environment, offering you the opportunity to build up research and innovation skills for a future career.
• The research team is headed by Professors Claeskens and Gijbels, both with a recognized international reputation, and a large international research network.
• A contract of one year, with opportunities to participate at national and international scientific events (for dissemination of scientific results).

Interested?

(i) A letter of motivation with statements on research interests and skills.

(iii) Names and contact information of 2–3 references (these persons will be potentially contacted for providing reference letters).

KU Leuven strives for an inclusive, respectful and socially safe environment. We embrace diversity among individuals and groups as an asset. Open dialogue and differences in perspective are essential for an ambitious research and educational environment. In our commitment to equal opportunity, we recognize the consequences of historical inequalities. We do not accept any form of discrimination based on, but not limited to, gender identity and expression, sexual orientation, age, ethnic or national background, skin colour, religious and philosophical diversity, neurodivergence, employment disability, health, or socioeconomic status. For questions about accessibility or support offered, we are happy to assist you at this email address.

Job details

Title: Postdoctoral research position in mathematical statistics

Closing date: 2026-03-16 (Europe/Brussels)