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other relevant duties deemed necessary. Qualifications Bachelor’s and/or Master’s Degree in Computer Science or Computer Engineering, Informatics or a relevant; PhD in Computer Science or Computer
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own learning. You should apply if First degree in Engineering, Applied Mathematics or Physics (with an MSc or PhD in a related topic). Experience of processing of numerical and/or experimental data and
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acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical devices Develop hardware-aware machine learning models incorporating electronic and optical
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other researchers, industry and end-users. • Aptitude in a relevant area (e.g. data analysis, machine learning, rail engineering, asset management, hydrology, hydraulics) as evidenced by previous
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the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc in Machine Learned Semiconductor Material Properties for Quantum Transport Simulations The simulation
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closely related field PhD training covering topics such as computational modelling, numerical methods, statistical analysis, machine learning or data-driven analysis of complex systems Experience 0–3 years
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of Technology seeks a driven and committed PhD student with a focus on the infiltration dynamics in nature-based stormwater solutions, with the aim of improving process-based understanding and long-term
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We seek a highly motivated Research Fellow to reverse engineer microstructured composite materials with novel