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platform as a doctoral student? At Fraunhofer IPMS , in collaboration with renowned German and European partners from science and industry, we are developing analog accelerators using novel non-volatile
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the next generation of vision-at-the-edge. Required/Preferred Candidate Skills and Competencies: – Background in analog/digital electronics, or IC design; – knowledge of image sensor architectures
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is seeking a highly motivated PhD candidate to work on a fundamental research project on systems and control theory for learning in neuromorphic circuits. Neuromorphic computing is an analog, brain
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Bram Nauta’s Integrated Circuit Design (ICD) group focuses on various aspects of analog and Radio Frequency (RF) Integrated Circuits (IC). The group's motto is “fundamental solutions for practical
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only of storing information, but also of manipulating, organising, and retrieving it through molecular data structures analogous to those used in computer science. Building on our pioneering experimental
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optimize the detector and its parameters. In this project, you will focus on developing a suitable solution for integrating photo detectors with the analog front-end. You will work on this solution, ensuring
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of analog and Radio Frequency (RF) Integrated Circuits (IC). The group's motto is “fundamental solutions for practical problems” and under this vision, it has contributed many fundamental new ideas in circuit
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-power analog, digital, and hybrid electronic circuits. The PhD candidate will also be integrated into the LN2 (Laboratory for Nanotechnologies and Nanosystems – CNRS IRL 3463), an international laboratory
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analog, requiring the model to integrate multimodal inputs to anticipate the onset and spatial evolution of ionospheric storms. The successful candidate will work at the intersection of deep learning and
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enable highly integrated electronic systems for quantum computing and sensing applications and offer unique opportunities for innovation in analog and mixed-signal circuit design. Your research will focus