10 phd-machine-learning research jobs at Singapore Institute of Technology in Singapore
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to analyse a bigger data set and build a multi-parameter machine learning (ML) model that integrate the complex mechanical properties obtained from DT and the electric/magnetic permeability data obtained from
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technology. Key Responsibilities: Collaborate with partners from both the academia and the industry to lead and/or conduct innovative research on, but not limited to transfer learning, explainable machine
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behavior analysis. Proficient in programming in C and Python, with experience in embedded Linux environments. Strong analytical skills, with proficiency in using AI and machine learning technologies
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culture of academic excellence and integrity. Job Requirements • PhD in n Computer Science, Artificial Intelligence, Computer Vision, Natural Language Processing, or allied disciplines is required
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the areas of modeling and simulation. Have experience in programming. Have a degree in Computer Science / Computer Engineering / Mechatronics / Other Relevant Engineering Degree. Possessing a Master’s or PhD
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machine control for smart manufacturing as well as publications in top-tier international conferences and journals, as well as real-world implementations. If interested, please apply with your resume
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experience may also be considered. Previous experience with DES / Deep learning using neural networks / DRL / Explainable machine learning / AnyLogic would be advantageous. Interest and enthusiasm
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skills. Research experience in coastal and ocean waves is preferred. Excellent communication (verbal and written) and teamwork abilities Proficiency in machine learning will be an advantage Key
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will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction. Key Responsibilities Participate in and
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the project by: analyzing data on the key protein properties generated by our experimental team, using data analytics or machine learning techniques, linking protein sequences, mass spectrometry data and