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computer science, machine learning, data science, information science, mathematics, or related disciplines. Experiences/Knowledge in deep learning, reinforcement learning, and user interface development. Proficiency
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We welcome applications for a Research Fellow position in AI/Machine Learning at the School of Mechanical and Aerospace Engineering (MAE), NTU, Singapore. The appointment is full-time and is funded
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satisfactory performance. Successful candidates will be involved in a project that is related to generative design. Key Responsibilities: To independently undertake research in computer vision and deep learning
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: To independently undertake research in machine learning. To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community. To provide guidance and
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fields. Strong background in machine learning and computer vision. Experience in 3D vision is preferable. Strong publication records in top-tier machine learning or computer vision conferences/journals
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/or machine learning interpretability. Key Responsibilities: Conduct research on cryptography and/or machine learning interpretability Prepare reports and presentations for the project Publish relevant
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and machine learning Deep understanding and rich hand-on experience in deep networks Good communication skills in English Background knowledge in computer vision and/or point cloud processing. Prior
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. Experience in machine learning and deep learning method. Excellent background in algorithms and database systems Excellent background and research experience in data mining algorithms, data management, machine
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. Successful candidates will conduct research and develop advanced cryptographic protocols for privacy protection of machine learning models in AI accelerators. Candidates are expected to have a strong
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Science, Mathematics, Statistics, or relevant fields. Strong background in machine learning. Experience in machine learning for optimization is preferable. Knowledge with machine and deep learning software packages