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Eindhoven University of Technology

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PhD in Statistics: Functional Data Analysis, Time-Varying Networks, and Structural Change Eindhoven University of Technology in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

Full-time PhD employment for five years with an intermediate assessment after nine months. Salary is on scale P, approximately €3,204 to €4,051 gross per month for full-time work, plus an 8% holiday allowance and an 8.3% year-end bonus. Benefits include pension contributions, leave, training, commuting/work-from-home/internet allowances, and support for international candidates.

Deadline

Nov 1, 2026

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Country

Netherlands

University

Eindhoven University of Technology

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Keywords

Computer Science
Mathematics
Network Analysis
Functional Analysis
Time Series Analysis
Python Programming
Neuropsychology
Mathematical Statistics
Economics
Statistics

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About this position

PhD-TA in Statistics at Eindhoven University of Technology (TU/e), Department of Mathematics and Computer Science, within the Statistics, Probability and Operations Research (SPOR) cluster.

This PhD project focuses on functional data analysis, functional time series, time-varying network structures, and structural change detection. The research aims to develop new statistical methodology and software for analysing complex dynamic data, controlling false connections, and studying dependence structures in non-stationary, non-Euclidean settings. Application areas mentioned include neuroscience, anomaly detection, process monitoring, weather and climate forecasting, and statistical bioinformatics.

The candidate will be supervised by Lujia Bai and Prof. dr. Jeanine Duistermaat. The role includes publishing in international journals, attending international conferences, and building an independent research profile.

Eligibility highlights: a master’s degree in Statistics, Mathematics, Econometrics, or a related field; strong affinity for mathematical statistics and rigorous proofs; fluent English at C1 level; good programming skills in R or Python; C++ experience is a plus; and prior knowledge of time series analysis, functional data analysis, or functional analysis is beneficial. The post also expects motivation to develop teaching skills and coach students.

Funding and conditions: full-time employment for five years, with an intermediate assessment after nine months. Salary is on Dutch university scale P (€3,204–€4,051 gross per month full-time), plus holiday allowance and year-end bonus. Additional benefits include pension, leave, training, commuting/work-from-home support, and international staff support.

How to apply: submit the application online via the vacancy page. Include a cover letter, CV with publications, and contact details for three references. Applications sent by email or post will not be processed. The vacancy remains open until filled.

Location: Eindhoven, Netherlands.

Funding details

Full-time PhD employment for five years with an intermediate assessment after nine months. Salary is on scale P, approximately €3,204 to €4,051 gross per month for full-time work, plus an 8% holiday allowance and an 8.3% year-end bonus. Benefits include pension contributions, leave, training, commuting/work-from-home/internet allowances, and support for international candidates.

What's required

A master’s degree in Statistics, Mathematics, Econometrics or a related field is required. The candidate should be fluent in spoken and written English at C1 level, have good programming skills preferably in R or Python, and experience with C++ is beneficial. Prior knowledge of time series analysis, functional data analysis, or functional analysis is an advantage. The post also values motivation to develop teaching skills, coach students, and strong communication skills.

How to apply

Apply online via the apply button on the vacancy page. Submit a cover letter, CV with publications, and contact details for three references. Do not send applications by email or post.

More information can be found here

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