The general focus of the Signal Processing (SP) research group is on developing novel methods for processing speech and audio signals with applications in speech communication devices such as hearing aids, mobile telephony, and voice-controlled assistants. Typically, the performance of these devices drops drastically when interfering sources, noise, and/or reverberation are present. The goal of the candidate is to develop novel methods to enable or facilitate speech communication and voice control in such acoustically challenging scenarios. In this context, possible PhD topics include source separation, source localization, speech enhancement and multimodal signal processing. Typical methods include statistical modeling and modern machine learning methods such as deep neural networks.
Please find the full announcement here
https://www.inf.uni-hamburg.de/en/inst/ab/sp/job-offer.html