Publisher
source

Leonie Vogelsmeier

2 months ago

PhD in Methodology & Statistics: Dynamic Mixture Modeling for Intensive Longitudinal Data Tilburg University in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Jul 6, 2026

Country flag

Country

Netherlands

University

Tilburg University

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Suggested positions

Keywords

Computer Science
Psychology
Cognitive Science
Mathematics
Statistics
Psychometric

About this position

Tilburg University is advertising a PhD position in Methodology & Statistics within the Tilburg School of Social and Behavioral Sciences. The project is titled Dynamic Mixture Modeling for Intensive Longitudinal Data and is linked to the Tilburg Experience Sampling Center (TESC).

This PhD focuses on the development of innovative statistical methods for intensive longitudinal data, including experience sampling data. Research themes include dynamic mixture modeling, latent Markov models, personalized prediction, adaptive measurement, evolving latent structures, and implementation of new methods in statistical software. The project combines methodological innovation with substantive applications in psychological, behavioral, and social science research.

The successful candidate will work in the Department of Methodology and Statistics and contribute to literature reviews, methodological development, empirical data analysis, software development, scientific writing, conference presentations, dissertation work, Open Science, Team Science, and some teaching/supervision duties.

Eligibility highlights: applicants should have a completed or nearly completed research master’s degree in statistics, psychometrics, quantitative psychology, methodology and statistics, machine learning, econometrics, computational social science, data science, or a related quantitative field. Strong programming skills (e.g., R, Python, Stan), quantitative research skills, English proficiency, and interest in intensive longitudinal/experience sampling research are expected. Experience with latent-variable modeling, mixture modeling, or adaptive/personalized measurement is an advantage.

Funding and terms: this is a full-time PhD appointment (1.0 fte) with a gross monthly salary of €3,059–€3,881, initially for 12 months with a possible extension of 36 months. The package includes vacation pay, year-end bonus, leave, home office allowance, commuting reimbursement, internet allowance, pension, and training opportunities.

Application deadline: 2026-07-06. Applications must be submitted online. The application should include a motivation letter, CV, transcript or course list, and an academic writing sample. The expected start date is 1 September 2026.

Supervision: Dr. Leonie Vogelsmeier, Dr. Mihai Constantin, and Prof. Dr. Jeroen Vermunt.

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.

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?

Professors