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neural processing hardware and design tools, and ML security, and their applications in resource-constrained Embodied-AI systems (like autonomous vehicles, UAVs/UGVs, Robotics, smart houses/cities
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. The work will include algorithm design, prototype implementation (e.g., in MATLAB/Python), deployment to robotics applications; onboard computational hardware using the Robot Operating System), and
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custom experimental systems. These instruments may combine optical components, laser and spectroscopic methods, spin-control or magnetic-resonance techniques, electronics, data-acquisition hardware, and
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manufacturing) are required. Proficiency in English is required. Qualified applicants should possess comprehensive expertise in the following areas: System hardware integration of medical instruments Advanced
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and intelligent vision systems, including efficient learning and inference of complex AI/ML algorithms, specialized neural processing hardware and design tools, and ML security, and their applications
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integration of hardware and software of robotic systems. Demonstrable research experience in conducting experiments for Field Robotic Systems. Proficient programming experience in embedded, real-time software