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Guildford

    Research Fellow in AI and Computer Vision - Guildford, United Kingdom - University of Surrey

    University of Surrey
    University of Surrey Guildford, United Kingdom

    Found in: Talent UK C2 - 21 hours ago

    Default job background
    Fixed Term Contract
    Description


    We are recruiting for Research Fellow in the field of Artificial Intelligence (AI) focused on the problem of ensuring visual content authenticity in the age of Generative AI.

    Join the EPSRC funded DECaDE centre as we develop new Computer Vision and AI techniques to help fight fake news and misinformation – one of the most significant societal challenges of our time. You will join a group world-leading team of researchers spanning industry and academia with strong track record in publishing and shipping content provenance technologies to create real-world impact in fighting online harms and misinformation, and ensuring a fair and equitable decentralized markets for content re-use e.g. when training AI models. Alongside our industry partners, we have impacted the development of international standards in provenance and impacted millions of users through commercial implementation of our research.

    As part of the multi-disciplinary DECaDE centre you will be a technologist working alongside experts in AI, cyber-security, business models and experts in design and creative IP law spanning Surrey, Edinburgh and the Digital Catapult. Together we will develop user-centred technologies to help support creative practioners in the emerging gig/peer-to-peer economy in which everyone can become a content producer or consumer, and in which AI democratizes access to the re-use and creation of content in ways that offer opportunity but also demand new techniques to ensure fairness, inclusivity and safety of these tools.

    DECaDE is part of the Centre for Vision, Speech and Signal Processing (CVSSP), number one in the UK for computer vision research. For more details visit: and

    To apply please attach your CV and provide evidence against each criteria on the application form.


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