PhD in Statistics

EURAXESS hosting organisation · Multiple European countries

Are you our next PhD candidate in functional data analysis? Are you passionate about developing statistical methodology for complex, dynamic data? Join our team to develop methods for estimating time-varying network structures and detecting structural changes in functional time series. Information In many scientific fields, observations are increasingly collected in the form of functions rather than simple numerical measurements. Examples include brain signals recorded continuously over time, and economic indicators observed as curves or distributions. Such functional time series often exhibit temporal dependence, non-stationarity, and complex non-Euclidean structures. These features contain valuable information, but they also make conventional statistical methods difficult to apply and ca

Funding and what it does not cover

Funding details were taken from the official programme page text. Confirm the current call before applying.