Inland Norway University of Applied Sciences
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PhD Position in Forest Sciences at University of Inland Norway University of Inland Norway in Norway
Degree Level
PhD
Field of study
Ecology
Funding
The position is a 100% PhD position for four years, with 25% of the time allocated to teaching. It is paid according to position code 1017, PhD candidate in the Government Salary Scale, and includes membership in the Norwegian Public Service Pension with good pension and insurance schemes. The project is funded by INN as an independent project.
Deadline
Oct 5, 2026
Country
Norway
University
Inland Norway University of Applied Sciences
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About this position
University of Inland Norway (INN) is advertising a 100% PhD position in Forest Sciences at the Faculty of Applied Ecology, Agricultural Sciences and Biotechnology. The position is based at Campus Evenstad in Norway and is linked to the Evenstad Forest Research Group.
The project focuses on production forestry with emphasis on forest management, carbon storage, and forest production under climate change. The research aims to improve ecological, social, and economic outcomes for forests and forestry, and may include field vegetation data collection, model development, remote sensing analyses, timber production analysis, economic and policy data, forestry cost functions, or surveys of forest owners.
The PhD is part of INN’s PhD programme in Applied Ecology and Biotechnology with a specialisation in Forestry. The project is flexible and can be tailored to the successful candidate’s scientific profile and interests, with opportunities to connect to ongoing research in the group.
Funding: The position lasts four years and is paid as a PhD candidate in the Norwegian government salary scale. Twenty-five percent of the time is allocated to teaching. The post also includes membership in the Norwegian Public Service Pension scheme with pension and insurance benefits.
Eligibility highlights: Applicants must normally hold a master’s degree or equivalent (120 ECTS) in forestry or another relevant field, have a strong academic record (normally B or better), and be eligible for admission to the PhD programme. A strong forestry background, motivation for research, ability to work independently and in teams, and structured work habits are important. Knowledge of Nordic forest management, teaching interest, and fluency in a Scandinavian language are beneficial.
How to apply: Submit an application letter, CV, diplomas and transcripts, publication list if applicable, referee contacts, and any additional supporting documents. Upload all attachments separately in Jobbnorge before the deadline.
Deadline: 5 October 2026.
Funding details
The position is a 100% PhD position for four years, with 25% of the time allocated to teaching. It is paid according to position code 1017, PhD candidate in the Government Salary Scale, and includes membership in the Norwegian Public Service Pension with good pension and insurance schemes. The project is funded by INN as an independent project.
What's required
Applicants must qualify for admission to the University of Inland Norway PhD programme in Applied Ecology and Biotechnology and normally hold a master's degree or equivalent (120 ECTS) in forestry or another relevant subject area. A strong academic background is required, with a master's average grade normally B or better. Applicants who already hold a PhD are not eligible. Strong forestry background, solid theoretical foundation, motivation for research, ability to work independently and collaboratively, structured work habits, and initiative are emphasized. Knowledge of Nordic forest management, teaching interest, fluency in a Scandinavian language, and collaborative approach are beneficial.
How to apply
Prepare an application letter describing your research interests and motivation, a CV, copies of diplomas and transcripts, a publication list if applicable, contact details for two referees, and any other relevant documentation. Upload attachments separately through Jobbnorge before the deadline.
More information can be found here
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