Publisher
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Norwegian Institute of Bioeconomy Research

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PhD in Multimodal AI for Forest Biodiversity Mapping Norwegian Institute of Bioeconomy Research in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

Temporary full-time PhD position (stipendiat) at NIBIO. The post is a doctoral research appointment; no stipend amount, tuition coverage, or other financial details are stated in the excerpt.

Deadline

Oct 24, 2026

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Country

Norway

University

Norwegian Institute of Bioeconomy Research

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Keywords

Computer Science
Data Science
Environmental Science
Biology
Artificial Intelligence
Earth Science

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About this position

Norwegian Institute of Bioeconomy Research (NIBIO) is advertising a PhD position in multimodal artificial intelligence for forest biodiversity mapping in Ås, Norway.

The project is linked to Landsskogtakseringen, the Norwegian National Forest Inventory, and the doctoral research will focus on developing AI methods that combine multiple data sources to support biodiversity mapping in forest environments.

This opportunity is especially relevant for applicants with interests in environmental science, data science, and computer science, particularly those working at the intersection of AI and ecological applications.

The position is a full-time temporary doctoral appointment. The post does not mention a stipend amount or detailed funding package in the excerpt, but it is presented as a PhD opening at NIBIO.

Deadline: 2026-10-24. Apply via Jobbnorge using the official vacancy link.

Funding details

Temporary full-time PhD position (stipendiat) at NIBIO. The post is a doctoral research appointment; no stipend amount, tuition coverage, or other financial details are stated in the excerpt.

What's required

Applicants are expected to pursue doctoral thesis research in multimodal artificial intelligence for forest biodiversity mapping. The post implies a research-oriented PhD candidate role within a doctoral programme; no additional formal requirements are stated in the post excerpt.

How to apply

Apply through the Jobbnorge recruitment portal using the vacancy link. Submit the application before 25 October 2026.

More information can be found here

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