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Job Purpose

Reporting to the CAE manager, you will be responsible for providing analysis support in three key areas:

Person Specification

• Degree qualified or similar qualification in a relevant discipline.
• Minimum 5 years conventional and new energy powertrain CAE experience.
• Good inter-personal communication, and the ability to present & discuss technical information in a clear and concise manner to colleagues either in UK or China.
• Capable of working efficiently, with a pro-active attitude, as part of a small team to lead and deliver major tasks to tight deadlines.
• Be an expert in one or more of the following areas: 1D (such as GT-Suite) simulation of HEV/PHEV/EV power/torque requirement; e-Motor efficiency and performance (Motor-CAD or Comsol); shifting quality (Ansys Adams).
• Detailed knowledge of power unit component cooling strategy, thermal load and durability, experience of fluid/structural coupled analysis are desirable.
• Detailed knowledge of engine/transmission/e-Machine/battery design, development, validation and test processes and their relationship with CAE processes will have advantages.

Main Duties and Responsibilities

• Powertrain design analysis including but not limited to dedicated hybrid engine, dedicated hybrid transmission, e-machine, battery, and e-control units. This may include some or all of following analyses: engine performance and e-machine matching/integration (using GT-Suite), powertrain cooling/heating (1D or 3D CFD), gear shifting quality (Romax and Ansys), component durability (Ansys or Abaqus), motor performance (Comsol or Motor-CAD).
• Responsible for implementing and documenting the best CAE practices and process development.
• Provide training and coaching to technical and management personnel, including those at parent company.
• Apply proven simulation techniques in support of new powertrain technology selection and system concept studies.
• Set analysis requirement such as boundary conditions and deliverables for supplier, third party or junior engineers.
• Potential involvement of big data and AI project related to powertrain real usage data using Python.