Key Information The Department of Forest Operations and Digitalisation focuses on the application of enabling technologies to support a digitalised and sustainable forestry sector.
Our research portfolio includes SmartForest, a Centre for Research-driven Innovation (smartforest.no), as well as the EU-funded projects Small4Good and SingleTree.
We are currently seeking a Research Scientist to lead our work on the development and implementation of artificial intelligence (AI) models for both unimodal data sources, such as laser scanning (LiDAR) and imagery, and multimodal applications that integrate information from multiple sensor types.
The position is based at NIBIO’s headquarters in Ås, located approximately 30 km south of Oslo.
Main responsibilities The successful candidate will play a leading role within our research team and contribute to the development of deep learning models for forestry and environmental applications.
The position includes both scientific and technical responsibilities, including participation in and leadership of activities related to: • Development of deep learning models for the segmentation and classification of LiDAR data.
• Development of deep learning models for image-based analysis and interpretation.
• Development of multimodal deep learning models that integrate information from multiple sensor sources.
• Development of real-time AI models and inference systems for operational applications.
• Leadership of work packages within ongoing externally funded national and international research projects.
• Contribution to the development of proposals for new research and innovation projects and funding applications.
Professional qualifications (required) • PhD degree in Computer Vision, Machine Learning, or a related field.
• Experience in computer vision research and development.
• A strong track record of publishing scientific articles in peer-reviewed journals and/or international conferences.
• Excellent oral and written communication skills in English.
• Candidates who are not proficient in Norwegian will be expected to acquire both written and spoken Norwegian language skills within two years of appointment.
Will be evaluated positively • Experience with deep learning models for LiDAR data and 3D point cloud analysis.
• Experience with multimodal models, including the integration of 3D data and imagery.
• Experience with real-time AI systems and edge computing.
• Knowledge of and experience working with forests in Northern Europe or similar forest ecosystems.
• Proficiency in Norwegian or another Scandinavian language.
Personal qualifications • Demonstrates strong collaboration and communication skills.
• Possesses excellent analytical and problem-solving abilities.
• Is responsible, results-oriented, and proactive in their approach to work.
• Shows commitment and enthusiasm for contributing to an ambitious and high-performing research team.
• Has the ability to collaborate effectively with both internal and external experts from diverse academic disciplines and professional backgrounds.
Salary and benefits • Opportunity to work on an important social mission with focus on sustainability and future-oriented projects.
• Challenging, exciting and varied tasks in interdisciplinary teams • A flexible everyday life with the opportunity to influence one's own work tasks • A skilled professional environment with good colleagues • A generous personnel policy with welfare schemes that focus on employees' different stages of life.
The position is remunerated according to the Norwegian State Salary Scale as Researcher code 1109, NOK 635.000 - 920.000 per year, commensurate with qualifications and experience.
Membership in the Norwegian Public Service Pension Fund, which includes a good occupational pension scheme, occupational injury and group life insurance, and low-interest home loans.
How to apply for the position Please send your application with CV electronically via the link on this page.
Take originals of diplomas and letters of recommendation with you if invited to an interview, and submit a copy of them as an attachment along with the electronic application/CV.
We conduct background checks on final candidates as part of our recruitment process.
Other information We would like to point out that information about applicants may be subject to public disclosure, in accordance with the Freedom of Information Act (Offentlighetsloven), Section 25. An applicant can request to be exempted from inclusion on a public list of applicants.
If the request for confidentiality is denied, the applicant will be notified thereof.
About diversity and inclusion - for applicants living in Norway: In accordance with the Norwegian Civil Service equal opportunities policy, qualified candidates are encouraged to apply - regardless of age, gender, functional disabilities, gaps in CV or national or ethnic background.
As a government agency, we have the opportunity to provide positive special treatment for applicants who have a disability, gaps in their CV or immigrant background.
Positive special treatment means, among other things, that you will more easily come to the interview.
Read more about this here (in norwegian).
About
NIBIO and the Department NIBIO’s activities lie within agriculture, food, climate and the environment.
The Institute conducts research and management support, and provides knowledge for use in national preparedness, governmental and district management, industry, and the society at large.
NIBIO has approximately 750 employees present in all parts of the country.
Its main office is located at Ås in Akershus.
NIBIO is owned by the Ministry of Agriculture and Food.
Department Forest Operationsand Digitalization performs industry-applicable R & D within boreal value chains from planting to delivery at mill gate.
Our objective is to be the preferred partner for the national forest sector and for policy-oriented studies while also being competitive in the international research community.
Questions about the position Carolin Fischer, Head of Departement, +47 967 41 326 Rasmus Astrup, Head of research, +47 941 51 660