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workplace You will be employed in the Reasoning and Learning Lab (ReaL), Division of Artificial Intelligence and Integrated Computer Systems (AIICS) at the Department of Computer and Information Science (IDA
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must be compatible with massive MIMO architectures, necessitating full-duplex operation and reciprocity. The project aims to establish an innovative IC-antenna co-design methodology for full-duplex
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the WASP NEST SOURCE (Secure Operation of Uncontrolled and Reliable Computing on the Edges) coordinated by Lund University. You will be a WASP PhD student and be part of the WASP Graduate School including
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experience with advanced signal processing concepts as well as digital filters is advantageous. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts
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qualifications You have graduated at Master’s level in computer science, computer engineering, human-computer Interaction, media technology, visual learning and communication, or closely related fields
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English is required. Swedish language skills are considered an advantage. Self-motivated with a genuine interest in research and science. Prior experience with advanced signal processing concepts as
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theoretical analysis, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and
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electronic doping to control and modify their electronic characteristics. The project’s goal is to develop fundamental understanding and innovative fabrication processes to solve urgent problems in organic
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verifiability for AI systems, based at the Department of Computer and Information Science. These positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Wallenberg AI
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. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer science, or possibly design or cognitive science as main subject) and one at Tema Technology