PhD Student in (Bio)statistics – Ecological Statistics
Develop advanced Bayesian hierarchical and spatio-temporal models for citizen-science biodiversity data at Hasselt University.
Best for:Best for quantitative researchers with strong backgrounds in statistics, Bayesian modeling, and ecological data analysis using R and Stan.
Overview
Hasselt University invites applications for a PhD student position focused on ecological statistics and biodiversity modeling. The successful candidate will develop innovative Bayesian hierarchical and spatio-temporal models to analyze citizen-science biodiversity data using Stan and R. Responsibilities include conducting methodological research, publishing findings in academic journals, presenting at scientific conferences, and contributing minor teaching duties. The project offers a collaborative environment bridging statistical methodology and ecological conservation.
What you'll do
- Develop Bayesian hierarchical and spatio-temporal statistical models for ecological and citizen-science biodiversity data
- Implement advanced computational workflows and statistical analyses using R and Stan
- Author research articles for publication in peer-reviewed scientific journals
- Present research methodologies and empirical findings at national and international conferences
- Participate in minor teaching or academic support duties within the department
Requirements
Degree required: Master's degree in Statistics, Biostatistics, Mathematics, Quantitative Ecology, or a related quantitative field
Degree offered: PhD
Language: English; professional proficiency in reading, writing, and speaking
Instruction: English
- Strong background in statistical modeling and data analysis
- Proficiency in programming with R
- Experience with Bayesian inference and Stan
- Familiarity with ecological data or spatio-temporal modeling
Funding & terms
How to apply
Deadline: 2026-11-16
Prepare all required application documents and submit them manually according to the instructions provided on the university's application portal. Ensure submissions are completed before the stated deadline.
- CV
- Cover letter
- Transcripts
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.