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. This position will involve the development of data analysis techniques (including machine learning) and process-based algorithms to diagnose and interpret high-frequency hydraulic data for the purpose
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the 2018 ERA rankings. The faculty is responsible for teaching and research across wide range of disciplines including Engineering, Computer and Mathematical Sciences, Architecture, Biology, Physics
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engineering, mathematics or physics Candidates without a PhD who hold the equivalent skills and experience in related topics may also be considered. Qualifications at Level B: A PhD in computer
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process data arising. Experience or demonstrated capability in working with industry. Demonstrated ability to promote the organisational values of integrity, respect, collegiality, excellence and discovery