The future of personal audio devices relies on statistical shape analysis of ears and ear acoustics. We have the world’s largest database of head-ear meshes together with ear acoustic data. The task is to explore statistical models of these data and apply leading machine learning techniques to map the data.
This leading research project explores advanced mathematical techniques for statistical shape analysis of ears and ear acoustics. Advanced machine learning techniques will be applied to map shape data to acoustic data. Topics include pattern theory and generative statistical models. We will work with leading international research teams.
Successful candidates likely have a background in mathematical modeling and machine learning.
The opportunity ID for this research opportunity is 1359