Forest Landscape Modelling Postdoc (Heureka)

Sveriges Lantbruksuniversitet; Umeå kommun; On-site; SEK 420,000 - 540,000; Full time

Job description

Department of Forest Resource Management

About the Position

We are looking for a postdoctoral researcher with a particular interest in forest landscape modelling. As part of a two‑year postdoctoral project, you will use the Heureka decision support system to analyse how different forest management strategies affect biodiversity and the provision of ecosystem services, as well as how these interact with the development of wind power. The work involves quantifying conflicts and synergies between different sustainability goals in the forest landscape using simulation and optimisation. The analysis will be based on spatially explicit future scenarios, developed in collaboration with various stakeholder groups, and will include indicators such as biomass production, carbon sequestration, recreational values and wind energy.

Responsibilities

• Analyse forest management strategies using the Heureka decision support system.
• Quantify conflicts and synergies between sustainability goals.
• Develop spatially explicit future scenarios in collaboration with stakeholders.
• Calculate indicators such as biomass production, carbon sequestration, recreational values, and wind energy.

Qualifications

• PhD in forestry, ecology, environmental science, systems analysis, mathematics, operations research, or a similar discipline.
• Strong background in quantitative modelling and/or optimisation.
• Experience with optimisation methods, long‑term forest landscape modelling, and decision support systems, preferably Heureka.
• Analytical and problem‑solving skills; ability to work independently and collaboratively.
• Excellent written and oral communication skills in English.
• Preferred: PhD obtained within the last three years, or earlier under exceptional circumstances.

Location

Umeå

Form of Employment

Temporary employment for 24 months, with the possibility of extension.

Scope

100%

Start Date

As agreed.

Application Deadline

11 August 2026