Publisher
source

Fabian Mies

Top university

4 months ago

PhD Position in Mathematical Statistics: Asymptotic Analysis and Nonparametric Modeling for Temporal Data Delft University of Technology in Netherlands

Degree Level

PhD

Field of study

Mathematics

Funding

Available

Deadline

Oct 31, 2026

Country flag

Country

Netherlands

University

Delft University of Technology

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Where to contact

Official Email

[email protected]

Keywords

Mathematics
Statistical Analysis
Probability Theory
Stochastic Processes
Asymptotic Analysis
Uncertainty Analysis
Anomaly Detection
Nonparametric Methods
Temporal Analysis
Mathematical Statistics
Data Streams
Monitoring Techniques
Statistic
Applied Mathematic

About this position

This PhD position at Delft University of Technology (TU Delft) focuses on developing advanced mathematical statistics methods for the analysis of temporal data, with a particular emphasis on monitoring procedures for detecting structural breaks. These methods are crucial for timely and accurate event detection in technical fields such as power system protection and manufacturing plant maintenance, where distinguishing signal from noise and quantifying uncertainty are essential. The project centers on mathematical theory, leveraging asymptotic analysis and nonparametric modeling to enable rigorous uncertainty analysis and faster anomaly detection. The successful candidate will join the Statistics section at the Delft Institute of Applied Mathematics (DIAM), working under the supervision of Dr. Fabian Mies and Prof. G. Jongbloed. The research group is active in a broad spectrum of statistical theory and methodology, collaborating with other departments and industry partners. The department fosters informal knowledge exchange through seminars and social events, and TU Delft offers a vibrant interdisciplinary research environment addressing societal challenges such as climate change, energy transition, and artificial intelligence. As a PhD candidate, you will collaborate with experienced researchers, attend conferences, and contribute to education and possibly supervise bachelor and master students. The position is designed to support both research and personal development, with access to excellent labs, facilities, and the TU Delft Graduate School. Employment is for four years, split into two contracts (1.5 years and 2.5 years), with salary and benefits according to Dutch university standards, including holiday allowance, end-of-year bonus, and a customisable compensation package. Applicants must have an excellent Master's degree in mathematics, strong knowledge of probability theory, and preferably expertise in asymptotic and nonparametric statistics. English proficiency is required for participation in courses and scientific writing. The application process is online only, with a deadline of 31 October 2025. TU Delft provides support for international relocation and integration, including a Dual Career Programme for partners. The university values diversity and innovation, offering a supportive and inclusive environment for all researchers.

Funding details

Available

What's required

Applicants must hold an excellent Master's degree in mathematics, possess strong knowledge of probability theory, and have in-depth knowledge of asymptotic and nonparametric statistics (highly beneficial). Good communication skills in English, both written and oral, are required. English proficiency must meet TU Delft Graduate School standards for participation in courses and scientific writing. Applicants should submit a CV, motivational letter, and sample academic writing (e.g., Master's thesis).

How to apply

Apply online via the application button before 31 October 2025. Upload your CV, motivational letter, and sample academic writing (e.g., Master's thesis). Address your application to Fabian Mies. Applications sent by email or post will not be processed.

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