Publisher
source

Leiden University

PhD Position in Statistics (Survival Analysis) at Leiden University Leiden University in Netherlands

Degree Level

PhD

Field of study

Mathematics

Funding

Full funding available

Deadline

December 31, 2026
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Country

Netherlands

University

Leiden University

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Keywords

Mathematics
Survival Analysis
Statistics
R/sas Software
Longitudinal Health Data
PhD

About this position

The Mathematical Institute of Leiden University is inviting applications for a PhD position in Statistics, with a focus on survival analysis and dynamic prediction for complex longitudinal data. The successful candidate will develop new statistical methods and R software for competing risks and interval censoring, contributing to the advancement of survival analysis techniques. This is a 4-year research-oriented PhD program, starting in 2026, and offers a supportive, international research environment at one of the leading universities in the Netherlands.

Applicants should have a strong background in statistics or mathematics, and experience or interest in survival analysis, dynamic prediction, and longitudinal data analysis. Familiarity with R software development is preferred. The position is ideal for candidates with a relevant master's degree who are eager to contribute to methodological research in statistics and its applications.

Leiden University provides a vibrant academic setting, and the Mathematical Institute is known for its collaborative and innovative research culture. While specific funding details are not provided, PhD positions in the Netherlands are typically fully funded, including a stipend and tuition coverage.

To apply, candidates should visit the provided application link for full details and submit their application through the university's portal. The application deadline is set for the start of the Spring 2026 session (2026-08-01). This opportunity is particularly suited for those interested in advanced statistical research, survival analysis, and software development in R.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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