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In recent decades, we have witnessed significant progresses in the convergence and complexity theory of the first-order optimization methods, with gradient global Lipschitz continuity (GGLC
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Position Description Nanyang Technological University College of Science School of Physical & Mathematical Sciences Assoc Prof / Full Professor in Optimization, Control, and Scientific Computing
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• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc. • Experienced in machine learning, optimization and programming
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advantage. Those without relevant work experience but who have the technical skills are welcome to apply. Proficiency in Python or similar programming languages and SQL. Experience with optimization tools
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learning, large-scale model optimization, and generalization. To explore scalable optimization methods for large-scale, distributed, and multi-node collaborative training. To conduct theoretical analysis
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is supported by NParks and aims to evaluate cooling effects of urban greenery and develop a modelling platform to assess and optimize the cooling benefits of various types and configurations of urban
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. Develop and optimize radical coupling reactions, including reaction design, selectivity, efficiency and substrate-scope evaluation. Plan protecting-group strategies and control chemoselectivity
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, payloads, linker-payloads and other ADC-related molecules. Develop and optimize amide-bond formation and conjugation reactions, including coupling-reagent selection, protecting-group strategies
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for energy-efficient thermal systems. The position focuses on the development, optimization, and characterization of engineered surfaces and surface treatment processes to enhance heat-transfer performance
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for submission to premier venues (CVPR, ICCV, ECCV, NeurIPS, ICLR). Convert research prototypes into scalable, deployable software systems or proof-of-concept demos. Design, code, and optimize robust deep learning