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Field
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responsible for: Conducting research on sustainable and resource-efficient AI systems for edge datacentres. Creating hardware-aware search spaces for CPUs, GPUs, and accelerators, and developing multi-objective
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developments, you will work closely with the other PhD, postdocs, engineers in the lab, and other collaborators from TUM and ETH, to establish a digital twin for construction, and optimize CAML hardware
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control for hybrid wireless networks. By combining photonic hardware with artificial intelligence, the project aims to demonstrate a new class of adaptive communication systems capable of supporting future
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an SEM. The project combines theoretical modelling, numerical simulations, hardware development, precision engineering, and experimental validation, providing a unique opportunity to contribute
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from opportunities to present at leading international conferences. Additional training in software-defined radio, hardware-in-the-loop testing, and advanced AI methods will further enrich the student’s
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related field; Strong knowledge of cybersecurity and cryptography applied to the automotive field; Knowledge of embedded systems and hardware features relevant to cybersecurity; Knowledge of communication
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Engineering, or a related field. Basic to intermediate knowledge of cybersecurity and applied cryptography. Knowledge of embedded systems and hardware characteristics relevant to cybersecurity. Familiarity with
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research project, the candidate will design a novel end-to-end incoherent holographic imaging system, and prototype both the camera optics and hardware. It will happen in close collaboration with other
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. Coding and hardware skills are desirable. Strong analytical/mathematical skills. Passion about research and willingness to learn. Good presentation, communication and writing skills. Funding support After
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. Knowledge of machine learning libraries (e.g., PyTorch or TensorFlow), SDR hardware (e.g., USRP), and software (e.g., GNURadio, MATLAB, LabView) is a plus. You are a team player and have strong communication