62 optimization Fellowship research jobs at Nanyang Technological University in Singapore
Sort by
Refine Your Search
-
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
-
. The role will focus on developing machine learning and mathematical optimization solutions for electric vehicle fleet charging optimization under different constraints. Key Responsibilities: Formulate
-
of chiral catalyst, and optimization of enantioselective metal-catalyzed reactions. Key Responsibilities: Optimisation of enantioselective reactions Synthesis of catalysts Supervision of undergraduate student
-
optimization. Focus on AI-assisted secure IC design, with domain adapted LLM, ML in front-end design, simulation tools for chiplet-based/oriented prototypes Investigate and apply AI principles for IC design, RTL
-
to the Singapore Centre for 3D Printing (e.g. competitions, conferences and hosting visits) Requirements: Ph.D. in the area of Industrial, Mechanical, and Materials Engineering Engineering Design and Optimization
-
. 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
-
electrochemistry and catalysis to Development and optimization of biomass chemical conversion technologies. Key Responsibilities: Design and evaluate solvent systems and additives for chemical transformations
-
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
-
the research for the project on robot human teaming. Key Responsibilities: The Research Fellow will work on a project to conduct research for human robotic teaming, in particular: Perform optimization
-
hardware technologies. Conduct hardware performance evaluations (e.g. area, power, efficiency). Develop software strategies for communication-aware task scheduling and runtime optimization. Explore low-power