65 combinatorial-optimization Fellowship positions at Nanyang Technological University in Singapore
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and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative optimization and Machine Learning models to address key challenges in the future airspace
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. The role will focus on developing machine learning and mathematical optimization solutions for electric vehicle fleet charging optimization under different constraints. Key Responsibilities: Formulate
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electrochemistry and catalysis to Development and optimization of biomass chemical conversion technologies. Key Responsibilities: Design and evaluate solvent systems and additives for chemical transformations
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. The Variational Quantum Eigensolver (VQE) is one such optimization algorithm that helps determine the total energy of molecules. In the NISQ era, simulating molecules with more than 16 qubits is a hard problem
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Responsibilities Development of new machine learning modeling approaches Development of new advanced control and optimization algorithms Optimization of carbon capture process operation Provide regular project
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(PECVD) system. Design appropriate experiments for PECVD growth of boron nitride nanomaterials. Optimization of PECVD parameters. Perform and analyze SEM, TEM and Raman and other material characterization
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be required to lead a project under a larger research programme between Singapore and China. The candidate should fulfill the following responsibilities: Design, perform, and optimize experiments with
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learning-driven approaches for material design, predictive synthesis optimization, and high-throughput data analysis. Develop novel synthetic methodologies and characterization approaches for advanced
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multidisciplinary team driving transformative sensing technologies. Key Responsibilities: Develop and optimize fabrication processes for sensor arrays based on 2D materials (e.g., graphene, MoS₂), including flexible
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: Investigating novel optical materials and technologies Developing and optimizing optical system designs using simulation tools Characterizing and testing optical system performance Collaborate with cross