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learning (reinforcement learning, multi-armed bandits). This position is expected to last from one to two years. The start date is negotiable. The candidate is expected to have a PhD in electrical
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machine learning conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, etc. The candidate will also help to co-supervise PhD students in the group. Only shortlisted applicants will be notified
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transportation), Electrical Engineering, Computer Engineering, or Computer Science; • Programming experience and knowledge of machine learning would be a plus; • Possesses research background with ability
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PhD degree (transportation engineering, operations research, computer engineering/science, or related disciplines) • Strong interests and expertise in traffic simulation, statistical modeling
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be a hot bed for top quality research and the playground for commercialization and start-ups. Qualifications A PhD degree in Computer Science/Computer Engineering Possess strong background in
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• The Research Fellow will help to develop machine learning models for both theory and applications in advanced control systems Job Requirements • A PhD degree in a relevant area, e.g., Chemical Engineering
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. • Integrating existing literature to propose research ideas and hypotheses, develop and implement empirical analysis using various statistical software. Methodologies used include machine learning, regression
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without prior experience. Ideal candidates will possess expertise in artificial intelligence (AI), machine learning (ML), bioinformatics, and biology. We strongly encourage applicants with a demonstrated
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-periodic and quasi-periodic structures). Skills in tight-binding and/or machine learning skill are given higher priority. • Experience: Has at least 4 years of doing DFT-based computational studies
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general public • Experience in conducting wind tunnel/water tunnel experiments is a plus • Experience in programming and AI/machine learning is a plus • Candidates with good publication record will