Mathematical Statistician

The University of Luxembourg is a leading international research university with a strong focus on interdisciplinary collaboration and a multilingual environment.

The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg is a hub for cutting-edge research and innovation in the fields of mathematics, physics, engineering, computer science, life sciences, and medicine.

The FSTM is committed to generating and disseminating knowledge, as well as training the next generation of researchers and professionals to address the complex challenges facing society and the environment.

The MATHCODA Doctoral Training Unit is a prestigious doctoral program that brings together a team of seven supervisors from the University of Luxembourg, each with expertise in mathematical statistics, probability theory, and their applications.

The program aims to train a new generation of researchers with a deep understanding of mathematical tools and techniques for analyzing complex data structures and addressing real-world problems.

The MATHCODA consortium, led by the Mathematics Department (DMATH) of the Faculty of Science, Technology and Medicine (FSTM), is seeking highly motivated and talented individuals to join the program.

We are seeking PhD candidates to work under the guidance of our experienced supervisors, conducting research in mathematical statistics and probability theory.

The successful candidates will contribute to the department's research activities, including seminars, teaching, outreach, and other events.

The PhD program offers a unique opportunity to work in a dynamic and interdisciplinary environment, with access to state-of-the-art facilities and a diverse range of research opportunities.

• Master's degree in mathematics or a related field
• Strong dedication to research in mathematical statistics and probability theory
• Good command of written and spoken English

• A dynamic and interdisciplinary research environment
• Access to state-of-the-art facilities and equipment
• Opportunities for collaboration and networking with international researchers
• A competitive salary and benefits package

Applications should include a letter of motivation, a ranked list of up to three PhD advisors, a full CV, transcript of academic records, and copies of diploma.

Early application is encouraged, as applications will be processed upon reception.

Please apply online through the HR system. Applications by email will not be considered.