We are recruiting for a fully-funded PhD studentship in Machine Learning for Audio with Applications for Health and Wellbeing, more details below. Please forward the information below to any potential applicants who may be interested.
I would particularly like to encourage applications from women, disabled and Black, Asian and minority ethnic candidates, since these groups are currently underrepresented in our area.
Many thanks,
Mark
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PhD in Machine Learning for Audio with Applications for Health and Wellbeing
The Surrey Institute for People-Centred Artificial Intelligence is offering a fully funded PhD in Machine Learning for Audio with Applications for Health and Wellbeing (https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.surrey.ac.uk%2Ffees-and-funding%2Fstudentships%2Fmachine-learning-audio-applications-health-and-wellbeing&data=05%7C01%7Ce.himonides%40UCL.AC.UK%7Ce472cfec889742af1f4d08da3eec1b21%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637891481598399250%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=OlZSZZP7zRxyKQUzGMCiHYxhi2h%2Fpp%2B7bfQQFRMh5pc%3D&reserved=0).
The position will be hosted jointly in the University of Surrey's Centre for Vision, Speech and Signal Processing (CVSSP) and Faculty of Health and Medical Sciences (FHMS). You will also have an excellent opportunity to partake in the AI for Sound project (https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fai4s.surrey.ac.uk%2F&data=05%7C01%7Ce.himonides%40UCL.AC.UK%7Ce472cfec889742af1f4d08da3eec1b21%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637891481598399250%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=dCroHnwBOFvIXX%2F0kPemaNX8YZ8FRI%2FPxsAdjQhX7jY%3D&reserved=0) at Surrey.
The PhD will be jointly supervised by Dr Ivan Kiskin, Lecturer in AI for Multimodal Health Monitoring, and Prof Mark Plumbley, Professor of Signal Processing and EPSRC Fellow in "AI for Sound".
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://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.surrey.ac.uk%2Ffees-and-funding%2Fstudentships%2Fmachine-learning-audio-applications-health-and-wellbeing&data=05%7C01%7Ce.himonides%40UCL.AC.UK%7Ce472cfec889742af1f4d08da3eec1b21%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637891481598399250%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=OlZSZZP7zRxyKQUzGMCiHYxhi2h%2Fpp%2B7bfQQFRMh5pc%3D&reserved=0
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@surrey.ac.uk, https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.surrey.ac.uk%2Fpeople%2Fivan-kiskin&data=05%7C01%7Ce.himonides%40UCL.AC.UK%7Ce472cfec889742af1f4d08da3eec1b21%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637891481598399250%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=O%2FskrWmhCb7e2qBok13ebMKYrvbdMe%2FFSf6wdHAEBKI%3D&reserved=0) in the first instance.
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@surrey.ac.uk
I would particularly like to encourage applications from women, disabled and Black, Asian and minority ethnic candidates, since these groups are currently underrepresented in our area.
Many thanks,
Mark
---
PhD in Machine Learning for Audio with Applications for Health and Wellbeing
The Surrey Institute for People-Centred Artificial Intelligence is offering a fully funded PhD in Machine Learning for Audio with Applications for Health and Wellbeing (https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.surrey.ac.uk%2Ffees-and-funding%2Fstudentships%2Fmachine-learning-audio-applications-health-and-wellbeing&data=05%7C01%7Ce.himonides%40UCL.AC.UK%7Ce472cfec889742af1f4d08da3eec1b21%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637891481598399250%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=OlZSZZP7zRxyKQUzGMCiHYxhi2h%2Fpp%2B7bfQQFRMh5pc%3D&reserved=0).
The position will be hosted jointly in the University of Surrey's Centre for Vision, Speech and Signal Processing (CVSSP) and Faculty of Health and Medical Sciences (FHMS). You will also have an excellent opportunity to partake in the AI for Sound project (https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fai4s.surrey.ac.uk%2F&data=05%7C01%7Ce.himonides%40UCL.AC.UK%7Ce472cfec889742af1f4d08da3eec1b21%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637891481598399250%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=dCroHnwBOFvIXX%2F0kPemaNX8YZ8FRI%2FPxsAdjQhX7jY%3D&reserved=0) at Surrey.
The PhD will be jointly supervised by Dr Ivan Kiskin, Lecturer in AI for Multimodal Health Monitoring, and Prof Mark Plumbley, Professor of Signal Processing and EPSRC Fellow in "AI for Sound".
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://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.surrey.ac.uk%2Ffees-and-funding%2Fstudentships%2Fmachine-learning-audio-applications-health-and-wellbeing&data=05%7C01%7Ce.himonides%40UCL.AC.UK%7Ce472cfec889742af1f4d08da3eec1b21%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637891481598399250%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=OlZSZZP7zRxyKQUzGMCiHYxhi2h%2Fpp%2B7bfQQFRMh5pc%3D&reserved=0
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@surrey.ac.uk, https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.surrey.ac.uk%2Fpeople%2Fivan-kiskin&data=05%7C01%7Ce.himonides%40UCL.AC.UK%7Ce472cfec889742af1f4d08da3eec1b21%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637891481598399250%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=O%2FskrWmhCb7e2qBok13ebMKYrvbdMe%2FFSf6wdHAEBKI%3D&reserved=0) in the first instance.
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@surrey.ac.uk
