[AUDITORY] PhD in Machine Learning for Audio with Applications for Health and Wellbeing (Mark Plumbley )


Subject: [AUDITORY] PhD in Machine Learning for Audio with Applications for Health and Wellbeing
From:    Mark Plumbley  <0000005fa4625f04-dmarc-request@xxxxxxxx>
Date:    Thu, 26 May 2022 07:53:19 +0000

Dear List, (with apologies for cross-posting) We are recruiting for a fully-funded PhD studentship in Machine Learning fo= r Audio with Applications for Health and Wellbeing, more details below. Ple= ase forward the information below to any potential applicants who may be in= terested. I would particularly like to encourage applications from women, disabled an= d Black, Asian and minority ethnic candidates, since these groups are curre= ntly underrepresented in our area. Many thanks, Mark --- PhD in Machine Learning for Audio with Applications for Health and Wellbein= g The Surrey Institute for People-Centred Artificial Intelligence is offering= a fully funded PhD in Machine Learning for Audio with Applications for Hea= lth and Wellbeing (https://www.surrey.ac.uk/fees-and-funding/studentships/m= achine-learning-audio-applications-health-and-wellbeing). The position will be hosted jointly in the University of Surrey's Centre fo= r Vision, Speech and Signal Processing (CVSSP) and Faculty of Health and Me= dical Sciences (FHMS). You will also have an excellent opportunity to parta= ke in the AI for Sound project (https://ai4s.surrey.ac.uk/) at Surrey. The PhD will be jointly supervised by Dr Ivan Kiskin, Lecturer in AI for Mu= ltimodal Health Monitoring, and Prof Mark Plumbley, Professor of Signal Pro= cessing and EPSRC Fellow in "AI for Sound".=20 Potential topics are not limited to, but may include: * Acoustic mosquito monitoring for malaria vector mapping and intervention * Analysing the role of audio and multimodal data on the effect of sleep; = using audio to categorise sleep quality, and thus determine biomarkers for = disease onset prediction * Bayesian deep learning for audio classification and event detection * The effect of audio compression on ML systems To learn more about this opportunity and how to apply, please visit: https://www.surrey.ac.uk/fees-and-funding/studentships/machine-learning-aud= io-applications-health-and-wellbeing=20 Application Deadline: 22 July 2022 (early applications are encouraged). Start Dates: July/October 2022 For informal enquiries, please contact Dr Ivan Kiskin (mailto:i.kiskin@xxxxxxxx= ey.ac.uk, https://www.surrey.ac.uk/people/ivan-kiskin) in the first instanc= e. Kindest regards, Dr Ivan Kiskin Prof Mark Plumbley -- Prof Mark D Plumbley EPSRC Fellow in AI for Sound Professor of Signal Processing Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumbley@xxxxxxxx


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