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experience of working with large databases, particularly those that contain geospatial data; experience of applying technical skills to solve real-world problems. Strong background in machine learning, data
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machine learning applied to quantitative finance. This is an exciting opportunity to lead an independent programme of research, and contribute to the teaching and administration of the Department
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, Computer Science, Mathematics, or related disciplines with a focus on machine learning, deep learning, or data science. Proficiency in machine learning and computational modelling. Capable of developing and
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(e.g. physics, engineering, mathematics or computing). Programming experience and mathematical ability in machine learning Experience in delivering research projects including aspects such as study
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machine learning models to improve the process of creating transportation models. Responsibilities: Development of optimisation and machine learning models to improve the process of creating transportation
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About the Role We are looking for a Research Fellow to join our NTU-GridLab team to work on advanced machine learning techniques in the area of energy systems with a specific focus on local energy
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machine learning applied to quantitative finance. This is an exciting opportunity to lead an independent programme of research, and contribute to the teaching and administration of the Department
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, Physics, Electronic Engineering, Mathematics, or similar technical area Possess specialist knowledge in computer vision/ image processing/ object detection and tracking, and machine learning to work with
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, statistical and machine learning and artificial intelligence techniques to relevant problems To disseminate the research results through publication in scientific journals and presentation at appropriate
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these projects To engage with industrial and academic partners to apply novel mathematical, statistical and machine learning and artificial intelligence techniques to relevant problems To disseminate the research