PhD Monitor
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Mathematics● Open⏰ 4 days leftPreview

PhD in Statistics

Join a collaborative research team to develop advanced statistical methods for functional time series and dynamic network analysis.

Best for:Best for candidates with a strong foundation in mathematical statistics, rigorous proof-writing skills, and a passion for developing novel statistical methods.

Eindhoven University of Technology (TU/e) · Eindhoven, Netherlands · R1 · First-stage researcher
More professors at Eindhoven University of Technology (TU/e)
Functional Data AnalysisTime Series AnalysisNetwork AnalysisStatistical MethodologyNon-Euclidean Statistics
Deadline
Oct 18, 2026
4 days
Funding
Salaried
€3.2k–€4.1k/mo
Start date
flexible
Full-time
Location
Eindhoven
Netherlands

Overview

Eindhoven University of Technology is seeking a motivated PhD candidate to join the Statistics, Probability and Operations Research (SPOR) cluster. The research focuses on developing theoretical tools and statistical software for analyzing dependence structures in functional time series, with applications in areas like neuroscience and economics. The successful candidate will work on estimating time-varying network structures and detecting structural changes in complex, non-Euclidean data. You will be supervised by Lujia Bai and Jeanine Duistermaat within an interdisciplinary and international research environment. The role involves a balance of research, publication, and teaching responsibilities.

StatisticsPhDFunctional DataTime SeriesNetwork StructuresMathematical StatisticsData Science

What you'll do

  • Conduct theoretical research on dependence structures in functional time series.
  • Develop and implement novel statistical methods for time-varying network construction.
  • Create statistical software to support the proposed analytical methods.
  • Contribute to the detection of structural changes and control of false connections in complex data.
  • Publish research findings in high-impact international scientific journals.
  • Participate in and present work at international academic conferences.
  • Engage in teaching activities for 10% to 15% of the employment duration.
  • Develop an independent research profile within the SPOR cluster.

Requirements

Degree required: Master’s degree in Statistics, Mathematics, Econometrics, or a closely related field.

Degree offered: PhD

Language: English; C1 level proficiency required.

Instruction: English

Required skills
  • Strong affinity for mathematical statistics and rigorous proofs.
  • Proficiency in programming, preferably in R or Python.
  • Experience in C++ programming.
  • Excellent written and verbal communication skills in English.
  • Commitment to developing teaching and student coaching skills.
Nice to have
Prior knowledge of time series analysis.Experience with functional data analysis.Background in functional analysis.
Eligibility
  • Must hold a relevant Master's degree.
  • Must be willing to commit to a four-year full-time contract.

Funding & terms

Type
Salaried
Amount
€3.2k–€4.1k/mo
Duration
4 years
Programme
Eindhoven University of Technology
Eindhoven University of Technology

How to apply

Deadline: 2026-10-18

Interested candidates should submit their application through the official university portal. Ensure all required documents are prepared and uploaded according to the instructions provided on the vacancy page.

Documents required
  • CV
  • Cover letter
  • Academic transcripts
  • Research statement
↗Apply on site
LB
Prof.
Lujia Bai
Department of Mathematics and Computer Science
Lab
Statistics, Probability and Operations Research (SPOR) cluster
Eindhoven University of Technology (TU/e)
Netherlands
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