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: Solid background in analog/mixed-signal ultra low power CMOS circuit design, including experience with amplifiers, data converters, and bias circuits. Experience with industry-standard EDA tools such as
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, modularisation and platform design. Experience with Digital Advanced Product Modelling using CAD design, simulations, and mathematics. A strong motivation for collaborative projects within academia and industry
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closely related field Strong background in analog and mixed-signal CMOS circuit design Familiarity with biomedical signal acquisition (especially EEG) is highly valued Experience with standard IC design
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supportive, dynamic, and designed to foster creativity and the development of innovative projects. What we offer A PhD student position in an ambitious and supportive, international research environment. A
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Experience with VLSI design (Cadence tools, Verilog/VHDL, SPICE) Knowledge of neural networks and neuromorphic systems is a strong advantage Good programming skills (e.g., Python, MATLAB) and interest in
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design methodology to improve system efficiency and power density while ensuring cost effectiveness. Our goal is to create next-generation solutions that tackle key challenges in the industry. We