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technical concepts effectively to both technical and non-technical stakeholders, bridging the gap between research and practical application. Strong analytical and problem-solving skills, with a focus on
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Responsibilities: Development of stochastic and analytical methods for nonlinear partial differential equations Implementation of relevant numerical experiments using deep learning algorithms Job Requirements: PhD
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to the programme of research. Job Requirements: PhD’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent
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: PhD in in a relevant discipline (e.g. Data Science and Analytics, Education, Psychology, Social Sciences) Applicants with Master’s Degree in relevant discipline are also invited to apply Experience in
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spatial data processing and analysis skills would be of advantage. Expertise in Stata, R, or other analytic tools. Strong communication (oral and written) and interpersonal skills, experience working in a
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collaboration with the High-Performance Computing Centre of NTU. In addition, EOS hosts state-of-the-art analytical facilities for petrological and geochemical analysis, and a Community Engagement office that co