Postdoc in Ecological Statistics: Bayesian Biodiversity

The International Society for Bayesian Analysis; Helsinki; On-site; EUR 45,000 - 55,000; Full time

Job summary

A leading academic institution in Helsinki is looking for a postdoctoral researcher in statistics to develop methods for analyzing biodiversity and ecosystem function data. Responsibilities include working on hierarchical Bayesian models and extending species distribution models. Ideal candidates should have a doctoral degree in ecological statistics and experience with Bayesian methods. The role offers opportunities for collaboration and professional development.

Qualifications

• Doctoral degree in ecological statistics, statistics, or a similar area required.
• Experience with hierarchical Bayesian models and Markov chain Monte Carlo methods needed.
• Strong ability to analyze and interpret complex ecological data.

Responsibilities

• Work on hierarchical Bayesian models integrating ecological data.
• Extend joint species distribution models (JSDM) for ecosystem function analysis.
• Analyze effects of extreme climate events on species communities.

Skills

Hierarchical Bayesian models

Markov chain Monte Carlo methods

Ecological data analysis

Communication skills

Project management

Education

Doctoral degree in ecological statistics, statistics, or similar area

Job description

A leading academic institution in Helsinki is looking for a postdoctoral researcher in statistics to develop methods for analyzing biodiversity and ecosystem function data. Responsibilities include working on hierarchical Bayesian models and extending species distribution models. Ideal candidates should have a doctoral degree in ecological statistics and experience with Bayesian methods. The role offers opportunities for collaboration and professional development.