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Field
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. Role & Responsibilities: Design and optimize large-scale electrophysiological and behavioral experiments using next generation custom-built hardware and software platforms Develop and implement end
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EMT modelling of converter-based energy resources and with experimental hardware in the loop (HIL) systems. Responsibilities and qualifications The main purpose of the post-doc position is to strengthen
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and environmental conditions. Candidates should have a strong publication record in mobile robotics. A strong focus on sensing and control systems, demonstrated through hardware-validated experiments
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expertise in energy systems, data analysis, and performance evaluation. They will contribute to the integration of hardware and software components from a research perspective, ensuring high-quality data
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integrated hardware systems. Experience in integrating camera modules and sensors (I2C, SPI, UART) is advantageous, as is knowledge of microfluidic automation, including actuators like pumps, valves, and
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, work-up, and analysis for late-stage process chemistry (10.26434/chemrxiv-2025-bsfvz). You will have the opportunity to design and build next-generation hardware modules that push the boundaries
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electronics. Experience in C/C++, Matlab, and Python programming. Experience in power systems software like PSCAD, PSS/e. Preferred Qualifications: Experience in real-time simulation hardware like Opal-RT and
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of Hardware verification, we aim to develop a neuro-symbolic AI platform to convert informal digital design specifications into formally checkable verification artifacts, with logical rigor, traceability, and
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of the project is to design, model and simulate neural networks based on magnetic skyrmion nucleation and propagation. The second objective is to fabricate these hardware neural networks, characterize
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, and anomaly detection. Build simulation pipelines and, where applicable, hardware-in-the-loop or lab prototypes; manage datasets and reproducible code. Academic Writing Lead and co-author journal and