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experience with UNIX/Linux operating systems and command-line environments (e.g. Bash). Experience in machine learning & deep learning, database, and good understanding of high-performance computing hardware
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available, including hardware focused on AI approaches which can be utilized by this project, including training and professional development opportunities in bioinformatics and data science and a large
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University, Wallumattagal Campus, North Ryde Pioneer the future of AI-driven hardware design within a world-class silicon research lab. Are you an early career researcher passionate about the intersection
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environment incorporating signal propagation. Develop signal processing and machine learning algorithms and methods for wireless localization and tracking of UEs in 5G networks. Perform software/hardware
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considering different operating points. Develop power-hardware-in-the-loop (P-HIL) based symmetric and asymmetric grid-fault models, wind turbine mechanical models and Battery Energy Storage System models
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and deployment settings. Apply and advance model compression techniques, including quantization, pruning, knowledge distillation, low-rank adaptation, and related methods. Conduct algorithm-hardware co
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and motivated candidates to work on developing closed loop robotics hardware and software. Together with a multi-disciplinary team of electronics/electrical engineers, you will be part of an exciting
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; • Explore and implement modern architectures and emerging technologies applied to distributed systems and hardware-software integration; • Collaborate on the development of intuitive, end-user-oriented
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, and visualization, contributing to more effective decision support systems; • Explore and implement modern architectures and emerging technologies applied to distributed systems and hardware-software
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sources, and the effects of contamination on space hardware. You should also have good interpersonal and communication skills and should be able to work in a multi-cultural environment, both independently