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interaction, and autonomous task execution. The Research Engineer will assist in system design, software implementation, and experimental evaluation on robotic platforms, working closely with faculty
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engineering bio-statistics and AI-healthcare smart/semi-conductor manufacturing AI/robotics/autonomous systems aerospace and microelectronics engineering energy generation and storage digital business and
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, robotics, materials processing, energy systems, and sustainable design. Experiential learning remains a cornerstone of the MMET educational model. Students benefit from access to state-of-the-art
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project progress and workshop new ideas. Deliver results in the form of a publishable research article. Contribute to the development of a robust autonomous multi-robot mapping and planning stack
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Engineering. Master's degree in Control Engineering. PROFESSIONAL EXPERIENCE. Experience in projects related to robots and hardware in the context of guidance, navigation, and control of autonomous vehicle
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related to staff position within a Research Infrastructure? No Offer Description Abstract: This position focuses on the development of intelligent and autonomous drone systems, integrating AI, edge
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development of model predictive control algorithms for autonomous robots. Key Responsibilities: Development of model predictive control algorithms for autonomous robots Job Requirements: A Master degree in
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aims to develop skills for an autonomous mobile robot to perform complex manipulation tasks. Our goal is to enable continuous learning, allowing the robot to improve over time by gathering knowledge
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structural topology optimization vision-based structural health monitoring autonomous and drone-based infrastructure inspection and vibration monitoring Successful candidates must hold a PhD degree in Civil
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modeling (any sector) Experience with experimental work Experience with robotics/autonomous systems Knowledge about marine technology Norwegian oral and written language skills Personal characteristics