164 parallel-computing-numerical-methods-"Simons-Foundation" Fellowship positions at Nanyang Technological University
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Research Fellow / Associate Research Fellow / Senior Analyst / Research Analyst (Military Studies Programme) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang
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will develop computational electromagnetics codes for rapid characterization of the fields scattered from artificial metasurfaces. Key Responsibilities: The key responsibilities of the Research Fellow
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postdoctoral research fellow in the area of computational soft matter physics. The main research tasks include developing new numerical methods for simulating self-assembly of anisotropic colloids. The Research
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industry partners. Job Requirements: PhD degree in Computer Science/Engineering, Electrical/Electronic Engineering, Mathematics or other related disciplines from a reputable university. Good publication
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degree in Mechanical or Vehicle Engineering or the related fields 3-year research experience in combustion, emission, or thermofluid modelling. Expertise in numerical simulation methods, particularly
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. Support the supervision of graduate students and research assistants involved in the project. Job Requirements: PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a
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systems and developing new design methods. Key Responsibilities: Conduct experiments on innovative structure systems Conduct numerical modelling Assess existing design codes Propose new improved design
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) who is highly skilled in and deeply passionate about computational electromagnetism and mathematical physics/engineering. The SRF should have strong background in computational methods for solving
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and Mathematical Sciences. We are seeking a Research Fellow to contribute to a project focused on Quantum magnets, magnon thermal Hall effect and numerical methods. Key Responsibilities: Responsible
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for funding agencies and stakeholders. Job Requirements: A PhD degree in Mathematics, Geophysics, Physics, Computer Sciences, or related areas. Strong background in numerical modeling and high-performance