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Job Offer: Prognostics Engineer with Machine Learning - KTP Associate:Job description:Job location: Portsmouth The University of Portsmouth is an ambitious institution with a track record of success. One of only four universities in the south east of England to achieve a Gold rating in the Teaching Excellence Framework and ranked in the top 150 in the Times Higher Young University World Rankings. In collaboration with Subsea Craft Ltd, the University of Portsmouth is seeking an innovative and motivated graduate to develop a prognostic software tool for marine vessels. Interviews in person at the company headquarters in Portsmouth. Prior completion of Application Form is essential. The Company SubSea Craft is a privately-funded SME delivering Advanced Maritime Technology. Our core product is VICTA, a Diver Delivery Unit - a surface submersible craft designed to operate at speed over range and capable of rapid transition beneath the surface to operate submerged, enabling the discreet delivery and recovery of divers. It is a unique, innovative British product focused primarily on the defence market but with utility beyond. More information can be found inhttps://subseacraft.com The Project The project will involve two KTP associates developing this software tool, responsible for developing the machine learning-located prognostic algorithm and the software that encapsulates the algorithm. This position is for machine learning-located prognostic algorithms. The challenge is to develop prognostic algorithms for a predictive maintenance tool to provide through-life-support for small marine vessels that can; ·Model life cycles of multiple marine vessel components ·Detect fault indicators on these components (e.g. diesel engine, battery) ·Estimate remaining useful life for these components These algorithms will need to be capable of running during online and offline operation. You will be joining a large, friendly team, located at company headquarters in Portsmouth. In the function you will be actively supported by expertise transfer specialists from the University of Portsmouth, with skills in innovation, machine learning, condition monitoring, and embedded systems. The project is jointly funded by SubSea Craft Ltd. The function This is an exciting opportunity open to a candidate with masters or Ph.D. qualification in mathematics, computer science, engineering, or other significant subject. The post will provide the individual with an opportunity to make a significant contribution to the company's innovation. The post holder will identify opportunities offered by machine learning and artificial intelligence within SubSea Craft. The prosperous applicant will be highly motivated and able to demonstrate some previous prosperous practice in a significant function. The University of Portsmouth believes this function iseligible for sponsorship with UKVI under the Skilled Worker Route visa, and meets the minimum income requirements to obtain the minimum points requirement. We kindly ask that candidates do not send CVs or cover letters as these will not be considered. Candidates are invited to contact Prof. Victor Becerra (victor.becerra@port.ac.uk) to discuss the post. As an equal opportunities employer, we welcome applications from all suitably qualified persons and all appointments will be made on merit. As we are committed to the principles of the Race Equality Charter Mark, we would particularly welcome candidates from Black, Asian, or from other ethnic groups who are currently under-represented at this level in this area. For more about us:Working at Portsmouth For detailed information about the vacancy:ZZ007368 - Prognostics Engineer with Machine Learning - KTP Associate.docx,ZZ007368 - Additional Advert.docx Skills:
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