Publisher
source

Swedish University of Agricultural Sciences

16 PhD Positions in Forest Research: Biodiversity, Genetics, Ecology, AI, and Remote Sensing (WIFORCE, SLU) Swedish University of Agricultural Sciences in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

All PhD positions are fully funded for 4 years as full-time employment at the Swedish University of Agricultural Sciences (SLU). Funding includes salary, access to research facilities, and professional development opportunities. No tuition fees are required. Additional benefits and details are available on the SLU website.

Deadline

Expired

Country flag

Country

Sweden

University

Swedish University of Agricultural Sciences

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Keywords

Computer Science
Environmental Science
Biology
Remote Sensing
Forestry
Soil Science
Artificial Intelligence
Rainforest Ecology
Functional Ecology
Bioacoustics
Climate Resilience
Preservation
Statistics

About this position

The Swedish University of Agricultural Sciences (SLU) is recruiting 16 PhD students as part of the Wallenberg Initiatives in Forest Research (WIFORCE), a national program shaping the future of forest research in Sweden. These positions span a wide range of topics including forest biodiversity, genetics, ecology, bioacoustics, remote sensing, soil science, mycorrhiza, AI, statistics, conservation, climate adaptation, and ecosystem functioning. The research is designed to address major challenges in sustainable forest management, biodiversity conservation, and climate change adaptation.

PhD projects include: deadwood translocation for forest soil biodiversity, nitrogen fixation in mycorrhiza and forest soils, linking forest genetics with operational harvest data, methods for inventory and measurement of forest biodiversity, bioacoustics and AI for forest biodiversity monitoring, remote sensing of boreal forest fires, forest ecophysiology, airborne eDNA for tracking biodiversity change, soil food web functional capacity under climate extremes, ecology and biodiversity in wet forested environments, microbial respiration and carbon storage in soils, management of drained peatland forests, RNA biology of trees, nitrogen use efficiency and wood formation, drivers of biodiversity and ecosystem functions, and heritable plastic response for climate adaptation.

Supervision is provided by leading researchers at SLU, including Mari Jönsson, Marie Spohn, Ola Lindroos, Kelly Swarts, Jörgen Sjögren, Tim Hofmeester, Magali Frauendorf, and Sheila Holmes. The research environment is highly interdisciplinary, collaborative, and international, with access to state-of-the-art facilities and infrastructure. SLU is a major hub for ecological and forestry research in the Nordic region, supporting UN Sustainability Goals and Sweden’s national environmental objectives.

Applicants must hold a master’s degree (or equivalent) in a relevant field such as biology, ecology, forestry, soil science, computer science, or statistics. Experience in fieldwork, laboratory methods, data analysis, statistical modeling, remote sensing, bioinformatics, or molecular techniques is advantageous. Good command of English is required, and a valid driving license is often a merit. Applications must include a motivation letter, CV, master’s thesis, degree certificates, transcripts, and references. International applicants must provide a copy of their passport.

All positions are fully funded for 4 years as full-time employment, with salary and benefits provided by SLU. The application deadline is 10 February 2026. For more information and to apply, visit the SLU WIFORCE open positions page and contact the listed supervisors for specific queries.

Funding details

All PhD positions are fully funded for 4 years as full-time employment at the Swedish University of Agricultural Sciences (SLU). Funding includes salary, access to research facilities, and professional development opportunities. No tuition fees are required. Additional benefits and details are available on the SLU website.

What's required

Applicants must hold a master's degree (or equivalent) in biology, ecology, forestry, soil science, computer science, statistics, or a closely related field. Strong interest in forest ecosystems, biodiversity, genetics, conservation, and/or AI is required. Experience in fieldwork, laboratory work, data analysis, statistical modeling (R/Python), remote sensing, bioinformatics, or molecular methods is advantageous. Good command of spoken and written English is mandatory; proof of English proficiency may be required. A valid driving license is often a merit. Applicants must submit a motivation letter, CV, master’s thesis, degree certificates, transcripts, and contact details for two references. International applicants must provide a copy of their passport.

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Professors

Professor

University Name
Country flag

Sweden

Research Interests

Statistics

Soil Science

Biology

Remote Sensing

Forestry

Professor

University Name
Country flag

Sweden

Research Interests

Conservation Biology

Agronomy

Forestry

Arboriculture

Ecosystem Management

Professor

University Name
Country flag

Sweden

Research Interests

Ecology

Conservation Biology

Forestry

Boreal Ecology

Habitat Management