18 algorithm-development-"Multiple" "Prof" PhD positions at Lulea University of Technology in Sweden
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the fields of cloud computing, computer networking and immersive systems to develop elastic and cost-efficient cloud-based AI pipeline to tackle climate change and support sustainability. Some of the tasks
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the fields of cloud computing, computer networking and immersive systems to develop elastic and cost-efficient cloud-based AI pipeline to tackle climate change and support sustainability. Some of the tasks
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aerial, space and bioinspired robotics. Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterised by advanced autonomy for improving the ability
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aerial, space and bioinspired robotics. Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterised by advanced autonomy for improving the ability
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to create secure, autonomous and developable solutions that interact with each other and their surroundings, from the edge to the cloud. Project description For this position, you will be working as part of a
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perception, decentralization and mission execution. The RAI team has a strong European participation in multiple R&D&I projects, while RAI was also participating in the DARPA SUB-T challenge with the CoSTAR
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of Technology (LTU) provides research and education, the Swedish Institute of Space Physics (IRF) focuses on space plasma research and instrument development, and EISCAT Scientific Association carries out radar
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the Division with a much-needed platform for the development of diagnostic and predictive technologies. At the Division two labs has been established the eMaintenance Lab and the Condition based maintenance Lab
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/ The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through
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on the development of self-sensing fiber-reinforced cementitious composites (SS-FRCMs) for the dual purpose of structural strengthening and real-time health monitoring of infrastructure. The research is structured