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Part-Time Lecturer in School of Electrical & Electronic Engineering - EE6203 Computer Control System
as Part-Time Lecturer for EE6203 Computer Control System. The Part-Time Lecturer is expected to teach this postgraduate course commencing in January 2026. This 13-week course will be offered
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acquired from the field survey Develop machine learning models for prediction and recommendation Job Requirements: Preferably PhD in Computer Science or related field. Expertise in computer programming
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will be offered to students taking NTU EEE MSc Signal Processing and Machine Learning Programme with the objective to impart to the students the knowledge relevant to real-time Digital Signal Processor
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, Physics, or any related field Strong background in machine learning, PINNs and control theory Excellent verbal and written communication skills Proficiency in programming languages in Python and/or C/C++. A
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field Strong background in control theory, optimisation-based algorithms and/or machine learning Excellent verbal and written communication skills Proficiency in programming languages in Python and/or C/C
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, including Computational Fluid Dynamics (CFD) for thermal analysis and energy simulation for consumption modelling. Design, train, and implement advanced machine learning and deep learning algorithms
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computational analysis/simulation in at least one of the above areas. Familiarity with the application of Artificial Intelligence, Machine Learning and/or Data Analytics in Aircraft Propulsion and related areas
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. Job Requirements: PhD in Electrical and Electronic Engineering, Computer Science, or related field, with strong background in robotics and machine learning. At least 4 years of research experience in
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quantum information theorists to integrate secure key rate calculations with simulations. Investigate and apply AI and machine learning techniques to improve and support secure-by-design development
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necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree in Computer Engineering, Computer Science, Electronics Engineering or