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 excellent 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 Β£ 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 employer: University of Surrey
The University of Surrey is an exceptional employer, offering a dynamic and collaborative research environment that fosters innovation and creativity. As a Research Fellow in the Centre for Vision Speech and Signal Processing, you will have access to cutting-edge technology and resources, alongside opportunities for professional development and growth within a supportive academic community. Located in a vibrant area, the university promotes a healthy work-life balance and encourages a culture of inclusivity and teamwork.