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PhD in Statistics

EURAXESS hosting organisation · عدة بلدان أوروبية

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

At a glance

Where: Multiple European countries
Deadline: 2026-09-25
Funding: EUR 3204 (parsed from page — verify)
Board: EURAXESS

Who can apply

Criteria stated by the funder on the official source.

Nationality

EURAXESS vacancies rarely print a nationality table. Confirm whether applicants from Tunisia can apply and whether a residence/work permit pathway exists on the employer page.

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Education

Specific Requirements - A master’s degree in Statistics, Mathematics, Econometrics or related majors. - Motivated to develop your teaching skills and coach students. - Fluent in spoken and written English (C1 level). - Good programming skills preferably in R or Python. Experience in programming with C++. - Prior knowledge in time series analysis, functional data analysis or functional analysis is of benefit . - Excellent communication skills.

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Funding and what it does not cover

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