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Job Description • Develop and implement AI and machine learning algorithms for urban-scale building energy modeling • Integrate AI techniques with existing building energy simulation tools
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conferences/journals. Involve in the mentoring of PhD/Masters/FYP students Job Requirements: Possess a PhD degree in Computer Science or Electrical and Computer Engineering Experience in point cloud analytics
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Research Fellow (Process Control/Control Science & Engineering/Applied Mathematics/Machine Learning)
Requirements: Obtained a PhD degree (or will be awarded PhD degree shortly) in Process Control, Control Science And Engineering, Applied Mathematics, Machine Learning or related fields. An excellent track record
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validation. Job Requirements: A PhD Degree in AI/Computer Science, Aerospace Engineering, Mechanical Engineering, etc. Strong background in deep learning, machine learning, and/or image processing. Relevant
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, magnetic/optical tweezers, ultrafast spectroscopy, or other in-situ operando imaging tools Machine learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design
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, magnetic/optical tweezers, ultrafast spectroscopy, or other in-situ operando imaging tools Machine learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design
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, digital currencies, fraud detection with data science and machine learning, create prediction models using structured and unstructured data, and apply the techniques to solve the real-world problems in
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. The successful candidate is required to: - Contribute to programming, modelling, and human robot interaction - Contribute to computer vision and machine learning algorithms. - Contribute to the implementation
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findings in a form of reports/papers and present in international peer-reviewed conferences and journals. To be involved in the mentoring of FYP/Master/PhD student projects. Job Requirements: Possess a good
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in the area of machine learning (ML)/deep learning (DL). The applicant must be well-versed in the necessary ML/DL tools and techniques with an application in remote sensing/earth observation. It is