PhD student position in Statistics and Data Science - KU Leuven

The PhD candidate will work on the project "Robust statistical methods for improved prediction and anomaly detection". Almost all real data deviate from the ideal assumptions underlying statistical models. An intrinsic problem is the occurrence of outliers or anomalies in real data. Robust statistical methods have proven to be a very powerful approach to reliably analyze such real data and provide accurate outlier detection. The objective of the PhD thesis is to develop innovative robust statistical methods for modern complex data, such as high dimensional time series and tensors. Focus is on prediction and forecasting., * You are willing to enroll in the PhD program of the Faculty of Economics and Business at KU Leuven

• You will also give guidance to students, be involved in teaching activities and in the supervision of exams (with a maximum of 4 hours a week)

Offer

• A fulltime PhD position for 1 year, starting 2026, October 1, renewable up to a maximum of four years upon yearly successful evaluations. The work should lead to a PhD degree.

• An interesting and diverse job within a dynamic and pleasant working environment, in a group conducting research at the highest international standards.

• A social, tolerant, and constructive workplace that offers ample opportunities for personal development.

• A correct and beneficial salary.

• Numerous opportunities for personal growth, illustrated by e.g., conference participation, "doctoral schools" courses on transferable skills, participation in educational initiatives, and publication opportunities., 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.

• You recently obtained your master's degree (or you are about to graduate in 2026) in Statistics and Data Science, Mathematics, Business Engineering, (Business) Economics, or a similar degree with an equivalent academic level.

• You have a strong interest in statistics / data science, both for theory, coding, and applications.

• Excellent results in prior studies are a requirement (cum laude - distinction, or higher).

• Experience with programming languages (such as R and/or Python) is an asset.

• You can conduct independent research (demonstrated, e.g., by an excellent Master's thesis) as well as collaborate well in teams.

• You have excellent command of spoken and written English and are equipped with good communication skills.

• You are willing to participate in (international) seminars and conferences., 1) a motivation letter with a statement of skills and research interests;

2. a curriculum vitae;
3. university diploma copies and complete transcripts