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Torger Grytå / Visual Intelligence / KSAT

New Industrial PhD project with Kongsberg Satellite Services

VI industry partner Kongsberg Satellite Services (KSAT) received an Industrial PhD grant from the Research Council of Norway. The project will be closely connected to Visual Intelligence's "Earth observation" innovation area.

New Industrial PhD project with Kongsberg Satellite Services

VI industry partner Kongsberg Satellite Services (KSAT) received an Industrial PhD grant from the Research Council of Norway. The project will be closely connected to Visual Intelligence's "Earth observation" innovation area.

By Petter Bjørklund, Communications Advisor at SFI Visual Intelligence

"Receiving this grant is a great recognition of the high-quality ongoing collaboration between KSAT and Visual Intelligence (VI). It gives us opportunities to further strengthen our already high competence and impact in earth observation and solve new and interesting challenges."

This is what Kristoffer Wickstrøm says about the Industrial PhD grant, which VI partner KSAT received on June 3rd. The Industrial PhD scheme—established by the Research Council of Norway—aims to boost research efforts and long-term competence-building for Norwegian trade and industry through the recruitment of doctoral candidates.

The scheme also seeks to promote closer cooperation between industry and research organizations as a step in promoting knowledge transfer from researchers to society at large.

Visual Intelligence PI Kristoffer Wickstrøm will be affiliated with KSAT's new Industrial PhD project. Photo: Petter Bjørklund / SFI Visual Intelligence.

Detecting oil spills with machine learning

The Industrial PhD project will focus on using satellite imagery and machine learning for sustainable oil spill monitoring. Early detection of spillage is important for minimizing its negative environmental impact on the marine ecosystem—both at sea and the shores, Wickstrøm says.

"However, the vastness of the ocean makes monitoring difficult. Satellite imagery is key to monitor large areas effectively but requires labor-intensive analyses. Automated solutions based on machine learning can help alleviate the need for manual labor—thus improving the monitoring procedure as a whole," he explains.

While formally a KSAT project, the PhD project will be conducted in close collaboration between the industry partner and the UiT Machine Learning Group. It is also closely tied to VI's "Earth observation" innovation area.

"KSAT and Visual Intelligence has a longstanding and tight collaboration that has led to cutting-edge fundamental and applied research that tackles real-world problems —with direct links to improved products. Working with KSAT—an internationally leading company—is highly beneficial due to the diverse and interesting problem settings that often require completely new technology to tackle efficiently. This leads to interesting research questions and new fundamental research, which in turn leads to improved products and applications," says Wickstrøm.

"This tight collaboration is a win-win situation—both for KSAT and Visual Intelligence as a whole", he adds.

The project is estimated to begin in September/October 2025.

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