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. Please submit these documents as a single pdf. Please include “PhD Application (Interpretable Machine Learning)” followed by your name in the subject line. The application CV should, at minimum, include
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and related disciplines in the school. Applicants should hold a PhD or equivalent qualification in Statistics or in a closely related Data Science area such as Biostatistics or Statistical/Machine
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in the school. Applicants should hold a PhD or equivalent qualification in Statistics or in a closely related Data Science area such as Biostatistics or Statistical/Machine Learning, and have a track
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critical component analysis, and (iii) development of Automation of ML model and data selection. The applicants should have knowledge of machine learning and optical networks and willing to engage in testbed
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in the area of operations research, constraint programming & machine learning within an established group of researchers and PhD students. Project Title: Insight Post Duration: 6 Months Whole-Time
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/machining processes, artificial intelligence/machine learning/data science in the manufacturing environment. The successful candidate should be recognised internationally for their research and teaching
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, Android, iOS) for searching and interacting with cultural heritage data. • Building machine learning models for word-based recognition and processing of Yunnan ethnic minority languages. The researcher will
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Professor / Full Professor of Advanced Manufacturing, School of Mechanical and Materials Engineering
/machining processes, artificial intelligence/machine learning/data science in the manufacturing environment. The successful candidate should be recognised internationally for their research and teaching
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instructor. An ability to teach modules in research design, quantitative research methods, machine learning and quantitative text analysis at both undergraduate and postgraduate level is highly desirable
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of Machine Learning and Statistical Data Processing. Candidates with expertise and a strong research interest in the following areas are highly encouraged to apply: Machine learning, Statistical data