As part of the ANR project on multi-resolution neural networks (MuReNN), we are loooking to hiring a postdoctoral researcher who will work towards more efficient and interpretable models for deep learning in audio and other applications.
Location: Nantes, France (https://audio.ls2n.fr) Start date: negotiable Duration: 12 months, renewable Contact: Vincent Lostanlen (@lostanlen) Apply before May 10 on the CNRS portal: https://emploi.cnrs.fr/Offres/CDD/UMR6004-VINLOS-009/Default.aspx?lang=EN
@inproceedings{lostanlen2023fitting,
title={Fitting Auditory Filterbanks with Multiresolution Neural Networks},
author={Lostanlen, Vincent and Haider, Daniel and Han, Han and Lagrange, Mathieu and Balazs, Peter and Ehler, Martin},
booktitle={Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
pages={1--5},
year={2023},
organization={IEEE}
}