Vrije Universiteit Amsterdam
1 month ago
PhD in Statistical Modeling of Long-Term Survival and Cure Vrije Universiteit Amsterdam in Netherlands
Degree Level
PhD
Field of study
Oncology
Funding
Fully funded four-year PhD position. Salary is €3,059 to €3,881 gross per month on a full-time basis, with an initial 1-year contract extended by 3 years after positive evaluation.
Deadline
Oct 15, 2026
Country
Netherlands
University
Vrije Universiteit Amsterdam
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About this position
Vrije Universiteit Amsterdam (VU) in the Netherlands is advertising a fully funded PhD position in statistics focused on survival analysis, extreme value theory, and cure models. The project, titled “Seeing beyond the study duration: extreme value theory for long term survival and cure chances”, aims to develop new statistical methods and theory for time-to-event data when some individuals are effectively cured and may never experience the event of interest.
The research is highly methodological and combines statistical learning, high-dimensional covariates, non-linear response modeling, and theoretical guarantees. The application areas mentioned include oncology and credit scoring (default prediction), so the work has both biomedical and quantitative finance/econometrics relevance.
You will work in a collaborative team with two PhD candidates and senior researchers, including Dr. Juan Cai (VU Amsterdam) and Dr. Eni Musta (University of Amsterdam), who are listed as supervisors. The position includes research, simulation studies, real-data applications, implementation in R, publications, conference presentations, seminar participation, and some teaching/supervision duties (0.2 FTE).
Funding: the post is fully funded for four years, with a gross monthly salary of €3,059 to €3,881 on a full-time basis. The contract starts for one year and is extended by three years after positive evaluation.
Eligibility highlights: a Master’s degree in statistics/probability/econometrics completed before the start date; strong interest in statistical theory and methodology; excellent programming skills in R/Python; proficient English and strong academic writing; motivation, independence, and teamwork.
Deadline: 15 October 2026 at 21:59 UTC. The expected start date is February 2027, though negotiable.
How to apply: submit the application online via AcademicTransfer. Include a detailed CV, motivation letter, thesis copy, course transcript/grades, and contact details for two academic referees. Applications sent by email will not be processed.
Funding details
Fully funded four-year PhD position. Salary is €3,059 to €3,881 gross per month on a full-time basis, with an initial 1-year contract extended by 3 years after positive evaluation.
What's required
Applicants should have a Master’s degree in statistics, probability, or econometrics completed before the project starts. Strong interest in statistical theory, methodology, and implementation is required, along with excellent programming skills in R/Python. Candidates must be proficient in English with strong academic writing skills and be highly motivated, independent, and cooperative.
How to apply
Apply online via AcademicTransfer before 15 October 2026. Submit a CV with months of education/work experience, a motivation letter, a copy of your Master’s thesis or Bachelor’s thesis if not completed, a complete record of Bachelor and Master courses with grades, and the names and email addresses of two academic referees. Do not email applications; emailed applications will not be processed.
More information can be found here
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