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experimental testing (on unmanned vehicle swarms). A solid competency with the standard implementation tools used in machine learning and embedded systems (e.g., C, C++, Linux, PyTorch, TensorFlow, MATLAB
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, Wearables, and Healthcare). The long-term vision of the eBRAIN lab is on embedding an energy-efficient and secure electronic brain inside modern cyber-physical systems (CPS) and IoT-Edge devices to enable
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and developing a machine perfusion system to improve organ preservation. The candidate will work in a dynamic, multidisciplinary environment alongside PhD-level engineers and scientists, graduate
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, Wearables, and Healthcare). The long-term vision of the eBRAIN lab is on embedding an energy-efficient and secure electronic brain inside modern cyber-physical systems (CPS) and IoT-Edge devices to enable
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in resource-constrained Embodied-AI systems (like autonomous vehicles, UAVs/UGVs, Robotics, smart houses/cities, Wearables, and Healthcare). The long-term vision of the eBRAIN lab is on embedding
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Robotic Systems. Proficient programming experience in embedded, real-time software in C/C++ and Python with several years of practice. Experience in maintaining high-quality code on Github. Ability
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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