Publisher
source

Stefan Van Aelst

Top university

5 months ago

2 Ph.D positions in statistics KU Leuven in Belgium

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Expired

Country flag

Country

Belgium

University

KU Leuven

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Keywords

Computer Science
Data Science
Mathematics
Python Programming
Data Visualization
Computational Mathematics
Anomaly Detection
Genetic
Clustering Algorithms
Robust Statistics
Text Classification
Statistics
Chemometric

About this position

The section of Statistics and Data Science within the Mathematics department at KU Leuven offers two Ph.D positions in statistics. The research group is active in a wide range of topics, including robust statistical methods, anomaly detection, classification and clustering techniques, visualization, and statistical learning. The group collaborates with experts in fields such as chemometrics, genetics, and fraud detection, providing opportunities for interdisciplinary research.

Depending on your interests and motivation, your Ph.D research may focus on robust methods for functional data, robust methods for tensor data, robust statistical learning methods for anomaly detection, or the application of new statistical techniques in various domains. The research environment is dynamic and international, supporting the development of expertise in statistics and data science. You will have the opportunity to build an international network and present your ongoing research at international conferences.

The Ph.D position is initially offered for one year, with the possibility of renewal three times after positive evaluation, for a total of four years. During your Ph.D, you will follow the doctoral program of KU Leuven, which provides comprehensive academic training and support. The preferred starting date is not later than September 1, 2026.

Applicants must have a master's degree in mathematics, statistics, or engineering with a solid background in statistics and at least the grade of distinction. Candidates in their final year of study may also apply if they will obtain their degree in the summer. Good knowledge of R and/or Python is required, along with a good command of English and strong communication skills. A detailed transcript of study results must be included with the application.

KU Leuven is committed to creating an inclusive, respectful, and socially safe environment. Diversity among individuals and groups is embraced as an asset, and open dialogue and differences in perspective are considered essential for an ambitious research and educational environment. The university does not accept any form of discrimination and is dedicated to equal opportunity.

For more information, prospective applicants may contact Prof. dr. Stefan Van Aelst ([email protected]) or Prof. dr. Mia Hubert ([email protected]). Applications should be submitted online via the KU Leuven jobsite before the deadline of June 15, 2026.

Funding details

Available

What's required

Applicants must have a master's degree in mathematics, statistics, or engineering with a solid background in statistics and at least the grade of distinction. Candidates in their final year of study may also apply if they will obtain their degree in the summer. Good knowledge of R and/or Python is required. A good command of English, both spoken and written, and good communication skills are necessary. Applicants must include a detailed transcript of their study results when applying.

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Professors

Professor Dr. at KU Leuven

University Name
Country flag

Belgium

Research Interests

Statistics

Biostatistics

Robust Statistics

Estimation Theory

Regression Analysis

Professor Dr. at KU Leuven

University Name
Country flag

Belgium

Research Interests

Statistics

Biostatistics

Robust Statistics

Data Visualization

Data Science