212 phd-position-in-data-modeling-"Prof"-"Prof" Fellowship positions at Nanyang Technological University
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roadmap with digital twins in various industries. Job Requirements: PhD in Industrial, Mechanical, or Materials Engineering. Demonstrated experience in the area of design, methods, modelling, and
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roadmap with digital twins in various industries Job Requirements: PhD in the area of Industrial, Mechanical, or Materials Engineering Demonstrated experience in the area of design, methods, modelling, and
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, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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: A PhD degree in Physics or related areas, with focus on Condensed matter physics Experience in quantum magnets and nonlinear quantum responses As the position requires stakeholder engagement in
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. Job Requirements: A PhD degree in Physics or related areas, with focus on Condensed matter physics Experience in strong correlated quantum materials and topological materials As the position requires
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methodologies Critically analyse research data against theory Provide support to research students and other research staff Report research progress Publish research findings Job Requirements: PhD in physics
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for developing the microscopic models for magnon excitations for various experimental systems Numerical and analytic studies of the magnon thermal Hall effect for experimental detection. Requirements A PhD degree
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the management of large datasets (in the excess of 21,000 data points) and advanced data analyses, including Hierarchical Linear Modelling and Growth Modelling. Additional responsibilities include providing drafts
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language models (LLMs), including tasks such as data preprocessing, feature extraction, model training, and evaluation. Background in Generative AI research, including multi-modal LLMs. Background in AI