Publisher
source

Norwegian Institute of Bioeconomy Research

PhD in AI for Forest Robotics Norwegian Institute of Bioeconomy Research in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

Three-year PhD position. Salary according to the Norwegian State Salary Scale as PhD research fellow, position 1017, NOK 555,000–635,000 per year depending on qualifications and experience. Includes membership in the Norwegian Public Service Pension Fund, occupational pension, occupational injury and group life insurance, and low-interest home loans. Free Norwegian language training is offered if the candidate lacks A2-level Norwegian/Swedish/Danish at employment.

Deadline

Oct 18, 2026

Country flag

Country

Norway

University

Norwegian Institute of Bioeconomy Research

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Keywords

Computer Science
Environmental Science
Agriculture
Electrical Engineering
Deep Learning
Artificial Intelligence
Computer Vision
Navigation
Localization
Robotics
Point Cloud
Statistics
ML

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About this position

PhD opportunity in AI for Forest Robotics at the Norwegian Institute of Bioeconomy Research (NIBIO) in Norway, with the candidate enrolled at NMBU and based in Ås (south of Oslo).

The project focuses on teaching robots to understand forest environments in real time using machine learning, LiDAR point clouds, and camera imagery. Research topics include incremental scene understanding, segmentation and interpretation of 3D point clouds, compact representations of forest structure, localization, place recognition, traversability, and navigation on embedded robot platforms.

This is a three-year PhD position. Salary is according to the Norwegian State Salary Scale for PhD research fellows, position 1017, at NOK 555,000–635,000 per year depending on qualifications and experience. Benefits include pension coverage, occupational injury and life insurance, and low-interest home loans. NIBIO also offers free Norwegian language training if the selected candidate does not already have A2-level Norwegian/Swedish/Danish at employment.

Eligibility highlights: a completed master's degree or equivalent five-year degree in data science, machine learning, robotics, or a related field; admission eligibility for the PhD programme at NMBU; strong Python and deep learning experience; strong English; and willingness to participate in outdoor field work in Norwegian forests. Preferred experience includes 3D/sensor-data deep learning, real-time inference, SLAM, sensor fusion, ROS/ROS2, embedded systems, and forestry or remote sensing knowledge.

Apply electronically through the job portal link. Submit your CV with the application, and keep originals of diplomas and recommendation letters ready for interview. Background checks may be conducted for final candidates.

Funding details

Three-year PhD position. Salary according to the Norwegian State Salary Scale as PhD research fellow, position 1017, NOK 555,000–635,000 per year depending on qualifications and experience. Includes membership in the Norwegian Public Service Pension Fund, occupational pension, occupational injury and group life insurance, and low-interest home loans. Free Norwegian language training is offered if the candidate lacks A2-level Norwegian/Swedish/Danish at employment.

What's required

Master's degree or equivalent five-year degree in data science, machine learning, robotics, or a related field completed before the start date; eligibility for admission to the PhD programme at NMBU; experience implementing and modifying deep learning architectures; strong Python programming skills with a modern deep learning framework such as PyTorch or TensorFlow; strong oral and written English; willingness and physical ability to do outdoor field work in Norwegian forests. Preferred qualifications include deep learning on 3D/sensor data, real-time and resource-constrained inference, robotics and state estimation, practical sensing/field experiments, forestry/remote sensing/ecology knowledge, and Norwegian or another Scandinavian language.

How to apply

Apply electronically via the link on the job page and submit your CV with the application. Bring originals of diplomas and recommendation letters if invited to interview, and upload copies with the electronic application/CV.

More information can be found here

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