4-year Postdoc Position (ordered spatial point processes & 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

4-year Postdoc Position (ordered spatial point processes & forest inventory)

Jul 6, 2017

University of Eastern Finland,
Joensuu Campus
School of Computing
Call closing on 15.8.2017
Post starting on 1.9.2017 or later

We are looking for an internationally recognised scientist, who has a doctoral degree in a field relevant to the position (e.g. statistics, stochastics, forest sciences) and who is well equipped to develop the theory and computational methods related to spatial point patterns. Familiarity with remote sensing of forests and Bayesian computational methods will be regarded as merits.

The work includes the development of the theory, estimation methods and inference of ordered spatial point patterns, and applications to forest inventory based on remote sensing.

The position constitutes part of a consortium project Models of heterogeneity, contextuality and self-interaction in ordered spatial point patterns with applications to animal movement and forest inventory, funded by the Academy of Finland. The other partner of the consortium is the National Resources Institute Finland. The work is related to the university’s international top-level research area Forests, global change and bioeconomy.

For more details and application procedure, see
https://rekry.saima.fi/certiahome/open_job_view.html?id=00004025&did=5600&lang=en&jc=16&nav_from_open_jobs_view_new=true