172 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:" Fellowship positions at Nanyang Technological University
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering, or equivalent. Independent, highly analytical, proactive, and a team player; strong verbal and written communication skills
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: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation
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academia, industry, and national laboratories Job Requirements: PhD in Materials Science, Chemistry, Physics, Computer Science, or a closely related discipline. Strong experience with Density Functional
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will publish relevant results to cryptography conferences/journals Job Requirements: PhD in Mathematics and/or Electronics and/or Computer Science Ability to work independently and as part of a team with
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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leadership role at NTU. Successful NAP awardees will be given a tenure-track Assistant/Associate Professor appointment and granted a substantial start-up grant (SUG) to lay the foundation for their research
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an emphasis on technology, data science and the humanities. We are seeking Research Fellow to join the Neuroscience and AI Research (Nair) group, led by Nanyang Assistant Professor Aditya Nair, to study how
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Computer Science, Statistics, Finance, Economics, or a related field. Very strong programming skills, especially in Python. Hands-on experience with large language models, AI agents, or machine-learning systems