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and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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expected, and familiarity with modern machine learning methods will be considered an asset. NUS offers a vibrant research environment, with access to high-performance computing facilities and opportunities
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: Regular Time Type: Full time Rate Type: Salary Compensation Statement: The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A
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, covering areas such as LLMs, generative AI models, computational biology, and the analysis of high-dimensional neural and behavioral data. The Fellowship is intended for early-stage scientists and will
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include high-performance computing, middleware and computing systems. Recent relevant research experience to include: Undertaking research in the area of high-performance / distributed / parallel computing
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systems. Develop, apply and refine advanced models for optical and laser system performance. Collect and analyze experimental data, draw conclusions and publish findings in high-quality peer-reviewed
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period of growth: major investment from the University will deliver a state-of-the-art research building (opening in 2023/24), and new multi-million pound high-performance computing facilities, which will
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postdoctoral fellow to join the Genome Re-InnovaTion-Lab (https://grit-lab.org/), part of the Synthetic Biology Translational Research Programme (TRP) at the National University of Singapore, Yong Loo Lin School
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calculations. Conduct Accurate Calculations: Perform accurate wavefunction calculations on high-performance computer clusters to generate ab initio reference benchmarks. Collaborate and Publish: Work closely