Postdoc in Random Matrices and High-Dimensional Statistics

Job description The Department of Mathematics at KTH invites applications for a two-year postdoctoral position in random matrix theory and high-dimensional statistics, in close collaboration with Assoc. Prof. Johannes Heiny. The research project aims at understanding phase transitions and universality for spectral statistics of random matrices and their applications in high-dimensional statistics, machine learning and probability theory. The Department of Mathematics at KTH offers a high-class, active research environment within a broad spectrum of mathematical fields in both pure and applied mathematics, including random matrix theory, discrete geometry, combinatorics, topology, the mathematical foundations for data and AI, and mathematical statistics. A wide range of training opportunities for further qualification is provided. Up to 20% of the position may include teaching or supervision duties. Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made. We are looking for candidates with a strong background in probability and modern statistics, specifically with expertise in one or more of the following related subjects: random matrix theory, high-dimensional statistics, Gaussian approximations, time series, point processes, extreme value theory. The successful applicant will be a highly motivated researcher, capable of working both independently as well as in collaboration with other researchers. Good communicative skills in English, both spoken and written as this will be required in day-to-day work. Preferred qualifications A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline Publications in leading journals or conferences in probability, statistics, or machine learning. Teaching skills and pedagogical qualifications are of merit, as well as awareness of diversity and equal treatment issues with a particular focus on gender equality. Awareness of diversity and equal opportunity issues, with specific focus on gender equality Great emphasis will be placed on personal skills.