Research Fellow on Machine Learning for Perceptual Quality Prediction of Spatial Music
Core
Develop machine learning and AI models for perceptual quality prediction and rating of songs reproduced using 3D rendering algorithms.
Role type
Research Fellow (12-month fixed term)
Builds
ML models and signal processing algorithms for spatial audio quality assessment
Domain
Audio-Visual Machine Perception and AI, Spatial Audio
Deliverable
production ML models
Required skills
Machine learning, AI, spatial audio, audio signal processing, audio perception, audio quality assessment, Python, Matlab, C/C++, analytical skills
Preferred skills
Experience in machine learning/AI, spatial audio
Technologies
Python, Matlab, C/C++, 3D rendering algorithms
Responsibilities
Develop ML and AI models for perceptual quality prediction, collaborate with team members on listening tests and data curation, work under direction of Principal Investigator
Seniority
Research Fellow (PhD level)
