241 phd-computer-science-"IMPRS-ML"-"IMPRS-ML" Fellowship positions at Nanyang Technological University
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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to the broader goals of sustainable waste management. Job Requirements: PhD in Chemical Engineering, Environmental Engineering, Chemistry, or a related field. Proven experience in hazardous waste processing
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Requirements: PhD degree in Artificial Intelligence, Computer Science, or a related field from a prestigious institution. Good written and oral communication skills. Proficiency in developing deep learning
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decision-making and research findings. Qualifications & Competencies: Minimally a PhD degree in Artificial Intelligence, Computer Science, Optimization, or a related field. Strong foundation in multi-agent
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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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for presentation of research to relevant stakeholders Job Requirements: PhD from an internationally recognised university in Psychology or Education or related fields; specialisations in Quantitative Psychology and
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The NTU AI-for-X Postdoctoral Fellowship (AI4X-PDF), jointly supported by Nanyang Technological University (NTU) and Singapore’s National Research Foundation (NRF), is a prestigious programme
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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the development of their digital twin platform by integrating the solutions developed in NTU into their platform. Job Requirements: Masters in Computer Science, Electrical Engineering or related field (for Research
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control using deep learning. Implement and test new algorithms in actual robot platforms. Job Requirements: PhD in Electrical and Electronic Engineering or related field. Hands on research experiences in