The Department of Forest Resource Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics, and landscape studies. The department is also responsible for the implementation of environmental monitoring programs: the National Forest Inventory, the National Forest Damage Inventory, National inventories of the landscape in Sweden, Terrestrial habitat monitoring, and the Butterfly and bumblebee inventory.

The activities combine research and environmental monitoring in cross-disciplinary projects, which provide unique opportunities to develop holistic concepts for the sustainable use of natural resources. In total, we are about 100 employees and during the summer months another 80 seasonal employees in our field inventories.


The task for the doctoral studies involves studying the development of the global forest resources with the support of modern inventory techniques that combine different types of remote sensing with field inventory. The studies will shed light on the developments of forests in different parts of the world, making comparisons with the developments in Sweden and Europe, and analyse similarities and differences between regions from different perspectives, including the contribution of forests to mitigating climate change through carbon sequestration.

An important part of the work involves contributing to the development of quality-assured methods for large-area forest monitoring. The main focus of the work will be determined together with the doctoral student.


The applicant must have a degree from at least four years of university studies in forest science, biology, geography or statistics. Applicants with degrees in other, similar, subjects will also be considered. You should be interested in work related to databases, geographic information systems, field-based forest inventories, remote sensing, and statistics. The work will include international collaborations.

Place of work 

Umeå, Sweden

Form of employment

Employment as a doctoral student 4 years of education



Start date

By agreement, tentatively in late autumn 2022 or early spring 2023


Click the “Apply” button to submit your application. The deadline is 2022-10-10.

To qualify for third-cycle (Doctoral) courses and study programmes, you must have a second-cycle (Master’s) qualification. Alternatively, you must have conducted a minimum of four years of full-time study, of which a minimum of one year at second-cycle level.

Applicants will be selected based on their written application and CV, degree project, copies of their degree certificate and transcript of records from previous first and second-cycle studies at a university or higher education institution, two personal references, and knowledge of English.

Please note that applicants invited to interview must submit attested copies of their degree certificate, a transcript of records from previous first and second-cycle studies at a university or higher education institution. Applicants who are not Swedish citizens need to submit an attested copy of their passport’s information page containing their photograph and personal details.

The Swedish University of Agricultural Sciences (SLU) is a world-class international university with research, education and environmental assessment within the sciences for sustainable life. Its principal sites are in Alnarp, Umeå and Uppsala, but activities are also conducted at research stations, experimental parks and educational establishments throughout Sweden. We bring together people who have different perspectives, but they all have one and the same goal: to create the best conditions for a sustainable, thriving and better world.

SLU has just over 3,000 employees, 5,000 students and a turnover of SEK 3 billion. The university has invested heavily in a modern, attractive environment on its campuses.

Contact person

Professor:Göran Ståhl, +46(0)90-786 84 59:

  • Cornelia Roberg: Environmental Assessment Specialist, +46(0)90-786 82 75,

Apply now

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