Lyudmila Grigoryeva

Lyudmila Grigoryeva, Associate Professor at the University of St.Gallen (School of Economics and Political Science, SEPS-HSG), is recruiting a postdoctoral researcher for a project at the intersection of statistical learning theory , nonparametric inference , kernel methods , and random weight neural networks . The research topics include statistical inference for kernel and random-feature ridge regression; finite-sample and asymptotic theory for random-feature sieves; covariance kernels and RKHS theory; connections between random features, random weight neural networks, and reservoir computing; sequential and reservoir (Volterra) kernels; random projections (sketching) and scalable kernel methods including MMD; and applications to financial and macroeconomic time series. The position starts on 1 October 2026 and ends on 31 August 2027 (11 months, 75% appointment). It is funded through the project and is intended as a stepping stone toward an SNSF Project Funding proposal. If the funding proposal is successful, additional funding and the possibility of continuing the position may become available. Applicants should have a strong theoretical background in statistics, probability, machine learning theory, applied mathematics, econometrics, or a related field. Experience with nonparametric statistics, asymptotic theory, empirical processes, kernel methods, random features, or neural-network theory is especially relevant. By the start date, candidates must have obtained their PhD within the previous two years (on or after 1 October 2024). Work permit approval is required where applicable. To apply, send a CV and a short description of your research interests directly to the announcer by email. Informal enquiries are welcome.