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We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with
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for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations of the designed algorithms and systems. Help with research
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power electronics converters, control, and energy systems. Design, simulate, and implement power electronic converter prototypes and associated control algorithms. Perform experimental testing, data
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computers and developing new quantum algorithms. The division hosts a vibrant and international team of theoretical physicists, maintaining a gender balance of 40% women and 60% men, and promoting a culture
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solutions that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities. The Secure AI Lab within the SEI’s AI Division focuses on improving the security
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conducting research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities. The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness
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on the project of NEMO Sub-Project C: Passive UE activity inference (4/5G) from OTA network traffic. The role will focus on developing algorithms and methods for processing and analyzing 5G signals. We
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(LES) results. Key Responsibilities: Develop and refine numerical algorithms for real-time wind field forecasting. Validate forecasting models against high-fidelity LES data and field measurements
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efficiency of vector search systems. The Research Engineer will work closely with the Principal Investigator and research team to design, implement, evaluate, and optimize algorithms and systems for high
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several related areas of expertise: generative AI for robotic planning and control, cognitive control, distributed perception and control, and HW-SW co-design of algorithms. Our research is applied across