**Welcome to the Chair of Mathematical Statistics held by Victor Panaretos.**

**Open positions: Postdoctoral and PhD positions available in the Chair of Mathematical Statistics.**

Broadly speaking, the research activity of the Chair of Mathematical

Statistics focuses on probability modeling and statistical inference for

functional and geometrical data and associated statistical inverse

problems in the natural sciences. Particular emphasis is given on

problems arising in biophysics, mathematical biology and high energy

physics. Focal points include:

- Functional data analysis (second-order functional inference,

frequency analysis of Hilbertian time series) - Shape theory and stochastic geometry (projected shapes, unlabelled

shape analysis, shape diffusions) - Statistical inverse problems (random tomography, infinite-dimensional

testing, density unfolding problems) - Statistical inference for stochastic processes (partially observed

branching and birth-death processes)

Our methodological and theoretical work in these areas is connected

with the analysis of data arising in cryo-electron microscopy,

molecular dynamics, protein matching, epidemiology and fundamental

particle detection.

Our work is supported by a European Research Council (ERC) Starting Grant Award, and by grants from the Swiss National Science Foundation.