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Field
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structural systems and ULS / SLS design concepts Experience in structural dynamics and/or vibration analysis is an added asset Familiarity with finite element modelling (e.g. ABAQUS) and probabilistic methods
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
positions for general criteria for the position. Preferred selection criteria Experience in solid mechanics and non-linear finite element analysis. Experience in optical measurements related to experimental
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CAD tools Finite-element analysis and simulation Rapid prototyping and additive manufacturing Signal processing and data analytics, control systems Machine learning or computer vision Product
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control Motion-control systems, stepper motors, encoders, and automation equipment Mechanical design using CAD tools Finite-element analysis and simulation Rapid prototyping and additive manufacturing
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analysis, such as MATLAB/Simulink, Python, finite-element tools or equivalent Essential Application/Interview Awareness/knowledge of field-oriented control, FPGA-based control, GaN inverter technologies
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-world engineering problems Experience with CFD, finite element methods, offshore structures and aquaculture would be beneficial but is not essential. What You will Gain This PhD offers you the opportunity
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. Nonlinear finite element modelling and characterisation Conduct numerical modelling via nonlinear finite element analysis and physics-informed neural networks Materials characterisation for soft, textile and
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verified through simulated and/or laboratory-generated data. Responsibilities and qualifications Your primary responsibilities and tasks include: Development and advancement of multi-fidelity finite element
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finite element analysis; MATLAB or Python programming; An interest in electrified propulsion and industrially relevant research. Experience in electromagnetic design, thermal analysis, optimisation
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numerical model using Abaqus Finite Element Modelling (FEM) software, validated through comparison with the centrifuge modelling data. Using the validated numerical model, conduct a comprehensive parametric