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collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in
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Worldwide R&D Projects. Previous experience in one or preferably more topics from these areas is considered a merit: -Multi-modal data processing for decision-making in natural environments -Terrain
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if there are special grounds, for example, different types of statutory leave of absence. Applicants who are close to finishing a PhD are also encouraged to apply. Further information The position is fully funded by
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. Most of your working time will be devoted to your own research but you will also be expected to co-supervise graduate students and collaborate with PhD-students. In addition, you may take part in other
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journals and at major conferences. The position will include supervision of PhD and MSc students, teaching and supporting in acquiring funds for future research projects from research funding agencies