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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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tools such as LTSpice (preferred)/TINA/Multisim. Knowledge of low-power biopotential amplifier design and energy harvesting techniques is preferred. Candidates with machine learning skills, particularly
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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
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, Functional Genomics, Machine Learning or you can apply for the specific project titled “Machine learning applications in epigenomics.” The selected candidate will join a dynamic research group located
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science Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video) or you can apply for the specific project titled “Real-Time Artefact Detection and
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of Artificial intelligence and Personalised Medicine. Candidates with expertise and a strong research interest in the following areas are highly encouraged to apply: Artificial intelligence, Machine learning
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condensed matter, and Computational modelling or you can apply for the specific project titled “Machine learning and Nanoparticle shape classification: using advanced descriptors”. The selected candidate will
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, parallel algorithms, Scientific computing and data processing, Cloud computing, Optimisation or you can apply for the specific project titled “Reducing Energy Cost of Communication of Machine Learning Based