Postdoc: Spatial Point Processes for Forest Inventory

The International Society for Bayesian Analysis; Joensuu; On-site; EUR 40,000 - 50,000; Full time

Job summary

A leading academic institution in Joensuu is offering a 4-year Postdoc Position focused on ordered spatial point processes and forest inventory. Candidates should have a doctoral degree in a relevant field and be equipped to develop theory and computational methods. Experience with Bayesian computational methods and remote sensing will be a strong advantage. The position will involve significant research related to global change and bioeconomy.

Qualifications

• Doctoral degree in statistics, stochastics, or forest sciences required.
• Familiarity with remote sensing techniques considered a merit.
• Experience in developing theory and computational methods essential.

Responsibilities

• Develop theory and estimation methods for ordered spatial point patterns.
• Perform applications to forest inventory using remote sensing.

Skills

Statistics

Stochastics

Remote sensing of forests

Bayesian computational methods

Education

Doctoral degree in relevant field

Job description

A leading academic institution in Joensuu is offering a 4-year Postdoc Position focused on ordered spatial point processes and forest inventory. Candidates should have a doctoral degree in a relevant field and be equipped to develop theory and computational methods. Experience with Bayesian computational methods and remote sensing will be a strong advantage. The position will involve significant research related to global change and bioeconomy.