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At EI2 Lab www.wrzhanglab.com , we focus on advancing electrochemistry, materials, and engineering as an integrated platform to build technologies for a sustainable and resilient future. We focus on the ion conductor and its interface with other materials. We aim to understand the ion/electron...
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turbulent flow simulations. 3. Background in numerical methods and scientific computing. 4. Proficiency in Python programming and high-performance computing on modern GPU-based platforms
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computational modelling of additive manufacturing and develop high-performance GPU-based CFD solvers. Qualifications • With PhD degree • Strong research experience in developing GPU-based
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hardware (e.g., GPUs and/or Non-volatile memory) and data science applications.
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This postdoc will work under the supervision of Dr. Guanyi Wang in ISEM at NUS to explore cutting-edge algorithms, derive rigorous theoretical guarantees, and implement numerical simulations
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computing environments and GPU computing. Proven experience in weather and climate models development and applications. Experience in machine learning, deep learning, or AI applications for atmospheric
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systems, FPGA/RTL, and RF technologies, and CUDA coding for GPU acceleration is a plus. Strong leadership, communication, and documentation skills.
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experiences on computer vision • Strong programming skills in using Deep Learning tools like PyTorch and GPU clusters. • Good written and verbal communications. • Open to Fixed Term Contract
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expertise in optimisation; Computer Science, with expertise in design and analysis of algorithms and high-performance (GPU) computing; Industrial and Systems Engineering, with AI in process mapping and Conops
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experience in writing scientific papers are required. • Recent Ph.D. or postdocs with experience of 2D materials growth, priority will be given to the candidate with CVD growth experience. • Applicants