PHD POSITION IN STATISTICS AND DATA SCIENCE

(ref. BAP-2021-711)

Laatst aangepast : 16/09/2021

The section of statistics and data science of the mathematics department at KU Leuven is active in a variety of research topics. We conduct research on robust statistical methods, classification and clustering techniques, visualization, and statistical learning. We regularly collaborate with international academics, practitioners from different scientific fields, and companies to apply our methods to data from engineering, chemometrics, biology, finance, insurance, marketing and more. See our website for publications and software: http://wis.kuleuven.be/statdatascience/robust

Project

Depending on your interests and motivation, your work will be on the development of one or several of our current research topics:

• methods for reliable analysis of (ultra) high-dimensional heterogeneous data by means of linear models, generalized linear models, principal component analysis, classification, graphical models and others;
• methods for anomaly detection;
• robust statistical learning;
• robust methods for functional data;
• applications of new methods and techniques in the fields of chemometrics, insurance, fraud detection, and creditrisk in collaboration with experts from the field;

Profile

You have a master degree in mathematics, statistics, data science, or engineering or an equivalent degree, with at least the grade of distinction;
You have a good knowledge of English, both spoken and written.

Offer

We offer a position as PhD student which is initially for one year, but will be renewed three times after a positive evaluation.

Interested?

For more information please contact Prof. dr. Stefan Van Aelst, tel.: +32 16 37 23 83, mail: [email protected].

KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at [email protected].