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candidate will work on the Desay SV Transfer Project, focusing on the industrialization of automated open-source component detection and emulation-based fuzz testing technologies for automotive software
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testing practices and identify opportunities to enhance efficiency and reduce redundant testing while maintaining compliance. Curate, standardize and integrate historical and statistical data to form
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applications Familiarity with engineering software such as ABAQUS, ETABS, MATLAB, Python, or equivalent will be an advantage. Prior experience in laboratory testing, data analysis, or industry-related
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of the quantum software stack. Qualifications Technical competencies Development of application software: familiarity with state-of-the-art software development, testing and optimization. Re-use, refactoring
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configurations to maximize energy harnessing and wave attenuation. 5. Experimental Testing Plan and conduct physical model tests in wave basin to validate computational models. Analyze experimental data to improve
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packages. Maintain high software engineering standards through rigorous testing, version control, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud
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of industry standards (ASTM, ISO) and regulatory frameworks (e.g., ISO 13485 for biomedical). Characterization: SEM/EDS, XRD, DSC/TGA, tensile/impact testing. Software: Thermo-Calc, Materials Studio, Python/R
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& conduct research on model validation using burning test data Actively participate in the development of a software tool for modelling electric-vehicles (EVs), power-assisted bicycles (PABs) and related
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project deliverables are met. Collaborate with the PI, Co-PIs and NTU team to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g
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merits of high-density and light-weight. • Innovate, design, and test the relevant power electronics and drives system hardware and troubleshoot the challenging problems. • Carry out Risk Assessment