Research Fellow on Generative AI for Social Music Game Design

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Research Fellow on Generative AI for Social Music Game Design

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Offer DescriptionThe University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.We are ambitious and have a bold vision of what we want to achieve – shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee.Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference.The roleApplications are invited for a Research Fellow (RF) position for 10 months within the Centre for Vision Speech and Signal Processing (CVSSP), University of Surrey, UK, to work on generative AI for social music game design.The post is funded by Research England and Surrey County Council, under the GAIN program. The project is a collaboration with industry partner Record Games. The focus will be to develop generative machine learning models and signal processing algorithms for music sound generation. This work is built on the recent contributions of the CVSSP audio team in generative AI models for audio generation, such as AudioLDM and AudioLDM2, with a focus on exploring the performance of using such models for music instrument sound generation and style transfer (e.g. from singing voice to trumpet sound).The post-holder will be based in CVSSP, and work under the direction of the Principal Investigator Prof Wenwu Wang, in collaboration with the industrial partner.CVSSP is an International Centre of Excellence for research in Audio-Visual Machine Perception and AI, with over 180 researchers. The Centre has state-of-the-art audio and video capture and analysis facilities supporting research in real-time video and audio processing and visualisation. CVSSP has a compute facility with 1000 CPUs, 200 GPUs and
2PB of high-speed secure storage.About youThe post-holder is expected to have a PhD degree (or equivalent) in generative AI, acoustic signal processing, cross-modal processing among audio and text, machine learning, or a related area in electronic engineering, applied mathematics, computer science, and statistics. The post-holder is expected to have strong analytical skills and programming skills such as Python, C/C++, or Matlab. Preference will be given to those who have experience on generative AI models, audio generation, cross modal translations (such as, text to audio), but candidates who have experience in machine learning and audio signal processing are welcome to apply.How to applyPlease apply with your CV and cover letter with your application on the University website.For informal inquiries, please contact Prof Wenwu Wang (Email: ; Web: ).The University of Surrey reserves the right to close this vacancy early based on Volume and Calibre of applications.Further detailsFor more information and to apply online, please download the further details and click on the ‘apply online’ button above.In return we offer a generous pension, relocation assistance where appropriate , flexible working options including job share and blended home/campus working locations (dependent on work duties), access to world-class leisure facilities on campus, a range of travel schemes and supportive family friendly benefits including an excellent on-site nursery.The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. Therefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.Where to apply WebsiteRequirementsAdditional InformationWork Location(s)Number of offers available 1 Company/Institute UNIVERSITY OF SURREY Country United Kingdom City Guildford GeofieldContact CityGuildfordSTATUS: EXPIREDShare this page

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Location

Guildford, Surrey

Job date

Mon, 07 Oct 2024 04:42:31 GMT

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