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arm control algorithms in both simulated and real-world environments; (d) train robotic systems in simulation environments using reinforcement learning; (e) collaborate with clinicians to ensure
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multimodal brain-computer interface”. They will be required to: (a) help build a multimodal system that integrates EEG, camera footage, and physiological signals; (b) develop and implement algorithms
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the throughput and reliability of Low-Power Wide-Area Networks; (b) implement algorithms and carry out performance evaluation; and (c) perform any other duties as assigned by the project leader, the Head of
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qualification; (b) strong background in extensive model optimisation on machine learning algorithm; and (c) good communication skill in English. Applicants are invited to contact Prof. Kay Chen Tan
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-modal fusion techniques for localization and mapping; (b) develop and implement algorithms for autonomous robots; (c) design and execute experiments to validate and refine algorithms and systems; (d
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- “Data-driven algorithms for multi-product inventory systems with non-stationary demand”. Qualifications Applicants should have:- (a) a doctoral degree, preferably in the area of operations management
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in algorithms development and refinement; (b) a good command of both written and spoken English; and (c) at least two first-authored publications. Preference will be given to those with: (a
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implementation; b) monitor the project implementation details; c) develop control algorithms and digital twin models; d) guide prototype development and laboratory testing; e) analyse test data and