Postdoc in Stochastic Analysis and Stochastic Geometry University of Luxembourg in Luxembourg

The University of Luxembourg, a leading international research university, is offering a postdoctoral position in Stochastic Analysis and Stochastic Geometry within its Faculty of Science, Technology and Medicine (FSTM). The FSTM is renowned for its multidisciplinary expertise across mathematics, physics, engineering, computer science, life sciences, and medicine, and provides a vibrant, multilingual, and interdisciplinary research environment.

This postdoctoral role focuses on research in stochastic analysis, with a special emphasis on stochastic geometry. Key topics include random fields, random graphs, limit theorems, stochastic calculus, and their applications in areas such as machine learning and mathematical statistics. The successful candidate will participate in departmental scientific activities, including seminars, workshops, and schools, and contribute to teaching (approximately 45 Teaching Units per semester) and outreach activities aimed at high-school students and the general public.

Applicants must possess a high-quality PhD in mathematics, with demonstrated research experience in at least one of the following: stochastic calculus, stochastic geometry, limit theorems, functional inequalities, or related applications. Strong organisational and analytical skills, autonomy, and fluency in either English or French are required. The University offers a modern and dynamic environment, high-quality equipment, and close ties to both the business world and the Luxembourg labour market. Staff come from over 90 countries, and the institution is a member of the University of the Greater Region (UniGR).

The position is a fixed-term contract for 36 months, full-time (40 hours per week), based at the Belval Campus. The annual gross salary for postdoctoral researchers is EUR 85,176. The University of Luxembourg is committed to inclusivity and encourages applications from individuals of all backgrounds.

To apply, candidates should submit a curriculum vitae, cover letter detailing motivation and alignment with the research topic, transcript of university-level courses, and a list of publications. Applications must be submitted online via the HR system; email applications will not be considered. Early applications are encouraged as review begins upon receipt. For further details and to apply, visit the provided application link.