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    4. Radar Systems Engineer (Knowledge Transfer Partnership Associate) Bristol 2023
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    The University of Bristol wishes to recruit a highly skilled & qualified graduate to lead and deliver a project with Toshiba Europe Limited, an R&D company that specialises in developing radio frequency applications, including electronic devices, smart energy, and power systems.

    This project will develop a novel synthetic-aperture radar technology for sea surface imaging to improve offshore floating wind turbine efficiency, maintenance, and safety. The KTP includes a £6,000 training budget & 10% of your time dedicated to your personal development.

    The role

    You will be responsible for conducting cutting edge research in image processing and control theory to develop state-of-the-art synthetic-aperture radar systems (SAR) for the stabilisation of offshore wind turbines. In doing so you will be immersed in an industrial environment while also benefiting from expert knowledge available in academia.

    Take the lead

    • You will be the project lead, managing your own workload and ensuring outputs, including leading on meetings and workshops.
    • Direct problem-solving activities and your own learning.
    • You’ll have creative freedom to suggest changes and develop the project plan.

    Interact

    • Continuous support from your academic & company supervisors.
    • Work with innovative and ambitious company staff including contact with senior management.

    Develop skills

    • Develop both industry and research skills for your future career.
    • Get further qualifications and certifications with dedicated training time and budget.
    • Develop experience of the whole product pipeline.

    About KTP

    You will work with the company to embed new know-how through this innovation project using research and academic support from the University. Apply your degree through real work and springboard your career. This position forms part of a KTP-funded by Innovate UK. Knowledge Transfer Partnerships are a partly government-funded programme to encourage collaboration between businesses and universities.

    About you

    The successful applicant will have:

    • A first degree (PhD desirable) in Electrical and Electronic Engineering, Computer Science, or Mathematics.
    • Proven experience of signal/image processing and analysis techniques.
    • Knowledge of control theory
    • Experience of programming using Matlab and/or Python and/or C++
    • Strong mathematical background.
    • Experience with radar systems would be desirable.