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the interface between formal verification and automated planning. This is a unique opportunity to contribute to safer, more intelligent systems through a combination of theoretical work and practical
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correctly. Project description The goal of this PhD project is to develop techniques for the design and verification of assured ACPS with a focus on runtime assurance. You will develop theory and tools
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artificial intelligence (AI) technologies, based on hardware inspired by the structure and function of the brain for superior energy and latency performance in embedded and human-centric applications. We offer
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interoperability and always-on artificial intelligence. To achieve the vision, research will focus on improving the hardware for both 6G devices and space-based satellites, developing signal processing methods
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ROS Practical experience in hardware and simulation-based implementations Fluency in both written and spoken English Previous experience in robot learning research will be considered a strong merit
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application! Your work assignments Our research projects focus on distributed sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine learning
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English language requirements for doctoral education. Verification of your documents Karolinska Institutet checks the authenticity of your documents. Karolinska Institutet reserves the right to revoke admission
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solutions. Subject description Cyber-Physical Systems encompass integrated software, electronics hardware, and application architecture within connected devices and distributed systems. The research aims
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industry. Subject description Cyber-Physical Systems encompass integrated software, electronics hardware, and application architecture within connected devices and distributed systems. The research aims
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industry. Subject description Cyber-Physical Systems encompass integrated software, electronics hardware, and application architecture within connected devices and distributed systems. The research aims