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EPSRC DTP Internship: Development of AI-located Fault Detection System for HVAC Systems:Job description:Job location: Milton Keynes, Hybrid Please note this position will be employed via a temporary staff agency. Location: Hybrid (mostly home working but some attendance to Milton Keynes campus may be required) Terms: 10 weeks full-time, 37 hours per week. Can be open part-time if required, 20 weeks at 18.5 hours per week. Proposed start end of June/beginning of July. Closing Date: 7th May 2024 The function Gain hands-on practice in the development of cutting-edge AI-located fault detection systems for heating, ventilation, and air conditioning (HVAC) systems. You will have the opportunity to collaborate closely with industry-leading experts to analyse complex HVAC data, identify patterns, and develop innovative algorithms for early fault detection and predictive maintenance. This exciting function offers a unique chance to contribute to the advancement of predictive maintenance strategies in the HVAC industry while honing your expertise in data analysis, algorithm development, and interdisciplinary collaboration. This internship is part of a bigger project aiming at revolutionising the future of HVAC technology and making a significant impact in the field of smart building systems. The full summary of tasks and person specification can be found within the Job Description. If you would like further details about the function before making an application, then please email stem-research-student-support@open.ac.uk quoting the reference number and job title. How to apply To apply for this function please email the following two documents to stem-research-student-support@open.ac.uk by 5pm (BST) Tuesday 7th May 2024. »CV »Cover letter including evidence that you have the essential expertise and explaining why you want to carry out this project Please make sure your surname and the job reference (at the top of this page) are included in the file names. Please note: If you have not heard from us within 2 weeks of the application closing date, please assume that on this occasion you have not been selected for interview, however we thank you for your interest in The Open University and encourage you to apply for future positions. The Open University is committed to equality, diversity and inclusion which is reflected in our mission to be open to people, places, methods and ideas. We aim to foster a diverse and inclusive environment so that all in our OU community can reach their potential. We recognise that different people bring different perspectives, ideas, expertise, and culture, and that this difference brings great strength. We strive to recruit, retain and develop the careers of a diverse pool of students and staff, and particularly encourage applications from all underrepresented groups. We also aspire to make The Open University a supportive workplace for all through our policies, services and staff networks. Skills:
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