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enrichment technologies. Experience working under a Quality Assurance Program (NQA-1, ISO9001, AS9100, or similar).Understanding and being able to apply Geometric Dimensioning and Tolerancing (GD&T) per ANSI
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Requirements Master/Ph.D. degree in Electrical/Electronic Engineering (Power Electronics focus preferred). Proficiency in magnetic design tools (e.g., Simplis Magnetics Design Module, ANSYS Maxwell, etc) and
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at the university level; Expertise in CFD software (OpenForm, Ansys Fluent) andFEM software (ABAQUS, ANSYS, SAP2000) and coding (Python/MATLAB). Professional engineering licensure (HKIE/CEng
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qubits. Using software such as Qiskit Metal and Ansys, qubit designs will be constructed and simulated, with AI methods optimizing them to explore the trade-offs between multiple design objectives. It is
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the setup of experimental facilities Basic understanding of heat transfer and structural mechanics; experience with FEM methods (e.g. ABAQUS, ANSYS) is an advantage High motivation to contribute to fusion
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technical skills: - experience in technical drawing and using SolidWorks CAD software; - basic knowledge of numerical simulation with Ansys; Candidates are also expected to have: - high motivation and
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system or standalone HP) The project will be supported by researchers and technical staff at CST. To support the project, software such as TRNSYS, MATLAB and Ansys will be used for numerical analysis and
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Skills: Microfluidics: Strong theoretical and practical understanding of fluid dynamics, fluidic circuit design, and numerical simulation (e.g., COMSOL Multiphysics or ANSYS) and experience in designing
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for developing scaled models for subsystems or components of a wind turbine drivetrain. You will utilize advanced simulation techniques like Finite Element Method (FEM) in ANSYS. You will use programming
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framework (e.g., OpenFOAM, ANSYS Fluent). Solid understanding of heat and mass transfer, turbulence modeling, and reaction kinetics. Experience with high-performance computing (MPI, parallel simulations) is