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Field
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rapidly evolving, along similar lines as electronics did a few decades ago. We are entering a new era, that is currently not well explored, and we need you to set the new standards of working, and to
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
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circuits and systems. You will be part of the Electronic Circuits and Architectures (ELCA) section within the Department of Microelectronics at TU Delft. ELCA leads cutting-edge research in integrated
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circuits (PMICs) for sustainable and autonomous sensing systems. The goal of this PhD project is to develop a fully integrated energy-extraction chip that efficiently converts mechanical energy into
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technology, the circuit design of the OLED integration, testing, assembly and interconnection technology to the development of the complete system and application. Here, we are working in the interdisciplinary
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shift from microwaves to mm-waves (ca. 30 – 300 GHz) or even Terahertz frequencies (ca. 0.3 – 1 THz). Current on-chip interconnect technology relies on printed circuit board (PCB), which is not suitable
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the Future 5G/6G Deployments with Millimeter Wave Integrated Circuit Interfaces Generated by Deep Computer Vision. This project is funded by FCT/MECI through national funds and when applicable co-funded EU
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18 Oct 2025 Job Information Organisation/Company CNRS Department Institut NEEL Research Field Engineering Physics Technology Researcher Profile First Stage Researcher (R1) Country France Application
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environments for at least 2 years. (2) Code-control tools (Git or similar). (3) Electronics knowledge (hardware development or circuit design) for communications or defense systems for at least 2 years
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master’s degree in electrical engineering, computer Engineering, or a related field. Strong background in mixed-signal circuit design and simulation. Familiarity with IC design tools and tapeout flow and