Doctoral Researchers in Ecological Statistics: The University of Helsinki is inviting applications for two doctoral researcher positions in the Environmental and Ecological Statistics Research Group (EnvStat). This opportunity focuses on developing innovative statistical methodologies to analyze ecological data in the context of global change and biodiversity.
Designation
Doctoral Researcher (PhD Student)
Research Area
Ecological Statistics
Location
University of Helsinki, Finland
Eligibility/Qualification
- Master’s degree in Statistics, Data Science, Machine Learning, Mathematical Modeling, or a related field.
- Strong interest in developing Bayesian statistical methods and applying them to ecological questions.
- Previous experience with Bayesian models and ecological data analysis is advantageous.
- Applicants must either already possess or plan to apply for the right to pursue a doctoral degree at the University of Helsinki.
Job Description
- Develop methods for analyzing large-scale biodiversity and ecosystem function data using hierarchical Bayesian models.
- Extend joint species distribution models (JSDM) to predict ecosystem functions and understand species population dynamics.
- Collaborate with other researchers in the EnvStat group on large ecological datasets.
- Opportunities for professional development in areas like project management, mentoring, and teaching.
How to Apply
Interested candidates should submit the following documents as a single PDF:
- Motivational letter (maximum 1 page) outlining suitability for the position.
- CV and list of publications (maximum 2 pages), including contact details for two references.
Applications can be submitted through the University of Helsinki’s recruitment system. Employees of the University should use the employee login to apply.
Last Date to Apply
November 19, 2025 (by 23:59 UTC+2).
For additional inquiries, please contact Professor Jarno Vanhatalo at jarno.vanhatalo(at)helsinki.fi or University Lecturer Elina Numminen at elina.numminen(at)helsinki.fi.
