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of Electrical Engineering at TU/e is a globally recognised, leading scientific and applied research group focused on exploiting light for communication and quantum systems. We apply our knowledge in collaboration
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explore emerging areas including integrated sensing and communication (ISAC), large-scale antenna systems, reconfigurable intelligent surfaces (RIS), near-field communications, machine learning
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closely with colleagues and students, you’ll apply mathematics to tackle societal challenges and bring new data-driven modelling, experiment, and computer-aided mathematics into education. We welcome
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consortia (including Horizon Europe and NWO). About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to
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severe speech and hearing impairments, this is a daily reality. Current assistive tools, such as typing text to speech or sign language interpreters, require users to drop whatever they are doing just
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combining geophysical sensing, physical modelling, and artificial intelligence. You will: · design and conduct research using geophysical techniques such as Ground Penetrating Radar (GPR), Electrical
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and students, you’ll apply mathematics to tackle societal challenges and bring new data-driven modelling, experiment, and computer-aided mathematics into education. We welcome applicants from all areas
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) in computer science, artificial intelligence, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience with
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non-deterministic behaviour, data-driven failure modes, human-machine interaction and emergent system effects; proposing and assessing architectural patterns for the safe integration of AI functions
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boundaries. Job requirements You hold an MSc degree in Electrical Engineering, Wireless Communications, Computer Engineering, Aerospace Engineering, Applied Physics, Physics, or a closely related discipline