Research Engineer in Forest Remote Sensing

Updated: 2 months ago

The Department of Forest Resource Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring programs the National Forest Inventory, National Inventory of the Landscape in Sweden, Terrestrial Habitat Monitoring and the Butterfly and Bumblebee Inventory. In total, we are about 100 employees. More information can be found at

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The project is “early detection of European spruce bark beetle attacks using hyperspectral drone images”. The spruce bark beetle is the insect causing the most damage to the spruce forests in Sweden. In-time sanitation cutting is one of the key measures, and knowing the best way and time to detect infestations is essential to making a concrete plan for detecting and cutting. This project will collect drone-based hyperspectral imagery, conduct fundamental research on the spectral response, and propose a methodology for accurate early detection.

The division of Forest Remote Sensing in SLU performs research on developing remote sensing of forest damages at various scales. We are developing a group with increasing number of experts on this topic.

We are looking for a research engineer to collect drone images and field data in Remningstorp, Lerdala, in 2023. The work includes the collection of image data with drones as well as post-processing of the images. The work also includes collecting inventory data on forests. Work will take place in Remningstorp, with close collaboration and communication with researchers in Umeå. The project will support a PhD position and potentially support a Postdoc position for the data analysis after the data collection.


We are looking for a person with a Bachelor degree in Electronics Engineering, or a Master degree in Engineering, Forestry, Agricultural, or similar. Fluent in English and driving license are required. Meritorious are experienced in drone flight, multispectral sensors, image processing, programming, statistical modeling, GIS, good ability to learn new sensors and software. We attach great importance to personal qualities, such as independence, problem-solving and teamwork. We also welcome applicants with research interest in the topic who are interested in a PHD-student position after the data collection.

Place of work:

The office will be in SLU Skara, and the field work will be in Remningstorp, Lerdala 

Forms for funding or employment:

Fixed term employment of 7 months starting from April. Potential to be extend.



Starting date:

April 2023.


We welcome your application no later than 2023-03-30, use the button below.

Academic union representatives:

The Swedish University of Agricultural Sciences (SLU) is a world-class international university with research, education and environmental assessment within the sciences for sustainable life. Its principal sites are in Alnarp, Umeå and Uppsala, but activities are also conducted at research stations, experimental parks and educational establishments throughout Sweden. We bring together people who have different perspectives, but they all have one and the same goal: to create the best conditions for a sustainable, thriving and better world.

SLU has just over 3,000 employees, 5,000 students and a turnover of SEK 3 billion. The university has invested heavily in a modern, attractive environment on its campuses.

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