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optimize battery management systems (BMS) and energy management algorithms for dynamic flight conditions. Develop low-power embedded firmware for real-time sensing and control. Conduct hardware prototyping
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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data. Designing mathematical models. Developing simulation program. Designing optimization or learning-based algorithms. Working on research projects, supervising research students, and preparing
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collection from both experimental and numerical sources, gathering relevant test and simulation data available globally, organizing the collected data to support model and control algorithm development and
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trust and agentic AI. Job Description: Review the literature about Real World Asset and blockchain technologies Design new blockchain consensus and trustworthy algorithms to support Real World Asset
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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sampling-based and reinforcement learning-based motion planning algorithms for multiple robotic arms in automotive manufacturing, including testing, performance evaluation in both simulation and actual
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sampling-based and reinforcement learning-based motion planning algorithms for multiple robotic arms in automotive manufacturing, including testing, performance evaluation in both simulation and actual
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semiconductor design automation and fostering leadership in next-generation microelectronics research. Key Responsibilities: Lead and conduct research in applying AI and ML algorithms for signal integrity (SI
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of the designed algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably PhD’s degree in Computer Engineering, Computer Science, Electronics