Postdoc in Self-Supervised Learning for Decoding of Complex Signals

We are excited to announce a two-year postdoc position in self-supervised and weakly-supervised learning for signals, e.g. speech, audio, text, and images. While the success of deep learning largely relies on the presence of substantial amounts of labeled data, the prevailing reality often entails the abundance of unlabeled or inadequately labeled data. This project focuses on the development of weakly-supervised and self-supervised learning methods to harness these data resources and gain deeper insights into the underlying mechanisms of these methods. The position is funded by Pioneer Centre for AI, Denmark. The deadline is 8 Nov 2023. Please apply or share with someone who might be interested. 

URL: Vacant scientific position at Aalborg University - Aalborg University (aau.dk)