Research Fellow - Music
- Employer
- Global Academy Jobs
- Location
- United Kingdom
- Closing date
- Oct 23, 2019
View more
- Sector
- Art and Humanities
- Hours
- Full Time
- Organization Type
- University and College
- Jobseeker Type
- Academic (e.g. 'Lecturer')
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Job Details
The post is for a fixed-term until 14/10/2020 at 0.6FTE. Overseas travel will be required.
You should hold a PhD in electroacoustic composition, have a track-record of research in advanced soundscape studies and be able to demonstrate experience creating site-specific soundscape compositions/installations involving public participation.
The project
Music-organised, comprehensible sound that can be captured, recorded, measured and transmitted-is data. This project turns to jazz in order to illuminate some problems in AI and data science. Jazz is made on the basis of "operations" (interactive improvisation) performed on "data" (song structures, rhythmic conventions etc.) Jazz as Social Machine argues that jazz as a global practice is a "social machine" that aggregates the "energy" of networked participants-their data-and converts this via interaction into meaning. The project asks: How is it possible to discuss, let alone quantitatively measure, this energy? How can a jazz algorithm account for the mixed media (standards, lead sheets, performances, recordings) that make up its data set? How can programmed sequences be refined to account for the contributions of a crowd? These contributions and sequences account for jazz's special qualities as an art form. By exploring them through the lens of AI and data science we can understand jazz as a social machine.
Jazz as Social Machine will answer these questions with creative and scholarly interventions aimed at general, humanities, social science and STEM audiences. The centrepiece of the project is a public-facing creative-artistic response to the problem of AI jazz. This will be flanked by more traditional academic outputs and networking events involving academic partners from arts and computer science institutions in the UK, US and Taiwan. Both forms of intervention aim to reach a wide and diverse audience, and lay the groundwork for larger research projects.
The research environment
The Department of Music at the University of Southampton was ranked no. 1 in the UK for the quality of its research in the 2015 Research Excellence Framework, and placed first in the 2019 Guardian subject league table in music. The project is co-hosted by the Southampton Web Science Institute. WSI coordinates the University of Southampton's globally recognised expertise on the development and social impact of Web technologies, offering analysis, tools, data and advice to government, business and civil society. It provides insight and intelligence that can lead policy, business strategy, civic engagement and individual choices to meet the social and technical challenges posed by Web technologies.
If you have further questions please feel free to contact the project PI Dr Thomas Irvine ( tairvine@soton.ac.uk ).
The application deadline will be midnight on the closing date stated above. If you need any assistance, please call Sam Stubbs (Recruitment Team) on +44 (0) 23 8059 4046.
Please quote reference 1191119AR on all correspondence.
We aim to be an equal opportunities employer and welcome applications from all sections of the community. Please note that applications from agencies will not be accepted unless indicated in the job advert.
You should hold a PhD in electroacoustic composition, have a track-record of research in advanced soundscape studies and be able to demonstrate experience creating site-specific soundscape compositions/installations involving public participation.
The project
Music-organised, comprehensible sound that can be captured, recorded, measured and transmitted-is data. This project turns to jazz in order to illuminate some problems in AI and data science. Jazz is made on the basis of "operations" (interactive improvisation) performed on "data" (song structures, rhythmic conventions etc.) Jazz as Social Machine argues that jazz as a global practice is a "social machine" that aggregates the "energy" of networked participants-their data-and converts this via interaction into meaning. The project asks: How is it possible to discuss, let alone quantitatively measure, this energy? How can a jazz algorithm account for the mixed media (standards, lead sheets, performances, recordings) that make up its data set? How can programmed sequences be refined to account for the contributions of a crowd? These contributions and sequences account for jazz's special qualities as an art form. By exploring them through the lens of AI and data science we can understand jazz as a social machine.
Jazz as Social Machine will answer these questions with creative and scholarly interventions aimed at general, humanities, social science and STEM audiences. The centrepiece of the project is a public-facing creative-artistic response to the problem of AI jazz. This will be flanked by more traditional academic outputs and networking events involving academic partners from arts and computer science institutions in the UK, US and Taiwan. Both forms of intervention aim to reach a wide and diverse audience, and lay the groundwork for larger research projects.
The research environment
The Department of Music at the University of Southampton was ranked no. 1 in the UK for the quality of its research in the 2015 Research Excellence Framework, and placed first in the 2019 Guardian subject league table in music. The project is co-hosted by the Southampton Web Science Institute. WSI coordinates the University of Southampton's globally recognised expertise on the development and social impact of Web technologies, offering analysis, tools, data and advice to government, business and civil society. It provides insight and intelligence that can lead policy, business strategy, civic engagement and individual choices to meet the social and technical challenges posed by Web technologies.
If you have further questions please feel free to contact the project PI Dr Thomas Irvine ( tairvine@soton.ac.uk ).
The application deadline will be midnight on the closing date stated above. If you need any assistance, please call Sam Stubbs (Recruitment Team) on +44 (0) 23 8059 4046.
Please quote reference 1191119AR on all correspondence.
We aim to be an equal opportunities employer and welcome applications from all sections of the community. Please note that applications from agencies will not be accepted unless indicated in the job advert.
Company
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