At a Glance
- Tasks: Develop machine learning models for predicting spatial music quality.
- Company: Join the University of Surrey's cutting-edge research team.
- Benefits: Access to advanced resources and a collaborative research environment.
- Other info: 12-month position with opportunities for professional growth.
- Why this job: Make a real impact in the field of music technology and machine learning.
- Qualifications: PhD in machine learning or related fields, strong Python or Matlab skills.
The predicted salary is between 60000 - 80000 £ per year.
UNIVERSITY OF SURREY seeks a Research Fellow for 12 months in the Centre for Vision Speech and Signal Processing (CVSSP) to develop machine learning models for perceptual quality prediction of spatial music. The ideal candidate holds a PhD in machine learning or related fields and possesses strong programming skills in Python or Matlab. This role offers the opportunity to work in a leading research environment with access to advanced compute resources.
Research Fellow: ML for Perceptual Spatial Music Quality in London employer: University of Surrey
The University of Surrey is an exceptional employer, offering a vibrant research environment that fosters innovation and collaboration. As a Research Fellow in the Centre for Vision Speech and Signal Processing, you will have access to cutting-edge resources and opportunities for professional development, all while contributing to groundbreaking work in machine learning and spatial music quality. The supportive work culture encourages creativity and growth, making it an ideal place for those seeking meaningful and impactful employment.
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We think you need these skills to ace Research Fellow: ML for Perceptual Spatial Music Quality in London
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