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are strongly encouraged to apply. Please refer to the full job description, under ‘Special requirements’ for essential and desirable criteria. The position is full time, and the successful candidate will be
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Fellow in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving) project. The D-XPERT project represents a
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exciting opportunity to work closely with our academic community and industry contacts developing impact through the commercialisation of our research. About the role As Technology Transfer (Innovation
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research assistant in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving) project. The D-XPERT project
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, Tourism Management Programme and Accounting and Finance Programme have an established international reputation. Qualifications Essential MA/PhD in TESOL or ELT or Applied Linguistics or recognized Diploma
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. For an informal discussion please contact Dr Ruth Abrams [email protected] . Please use the links below to go to the relevant pages to apply. We can only accept applications from the University of Surrey
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of a team please apply. An RLSS National Pool Lifeguard Qualification (NPLQ) is essential for this role but training and funding will be provided for candidates who pass the swim test and interview
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at peak times. You must be able to work independently and have good time management skills. How to apply Please apply on the University website with a CV and cover letter. For more information or for
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, ensuring that our first-class learning environment is maintained, whilst guaranteeing we are responsive to the changing expectations of our users. About you You will be a positive person, be able to use your
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the Engineering and Physical Sciences Research Council (EPSRC). The University of Surrey and Bristol University Business School are developing the work on resilient supply chain for additive manufacturing