PhD (m/f/d) for Audio Signal Processing
Vor 4 Tagen
Join WS Audiology's Signal Processing team in Erlangen, Germany, as a PhD student in Audio Signal Processing (SIP). Dive into groundbreaking research, develop innovative solutions, and earn your PhD while revolutionizing the world of hearing aid technology.
About us
At WS Audiology, we are a diverse team of more than 30 dedicated and highly skilled specialists working on a multitude of different topics all around Audio Signal Processing. Not being familiar with hearing aids, one can hardly imagine the complexity and the possibilities of hearing aid processing.
We are pioneers in developing new algorithms, neural networks, detection methods, machine learning concepts for hearing aids. Join us in doing research in audio and sensor processing for hearing aids to optimize understanding and the listening experience with our hearing aids. You will be part of a small group of PhD students and a Post Doc within the Signal Processing team. You will also be integrated in the WSA Science network which allows exchanging on hearing aid research questions beyond Signal Processing.
What you will do
As a Signal Processing PhD candidate at WS Audiology, you will work on long-term research questions with the aim of exploring new frontiers and acquiring a PhD title in collaboration with a German university. You will have access to audio test labs and cutting-edge infrastructure wrt. Signal Processing, real-time processing as well as training and realization of DNNs. Your specific research focus will be determined in collaboration with you, within the broad spectrum of audio processing for hearing aids, including:
Audio scene analysis or speaker detection, tracking, and analysisMethods for audio enhancement or improving speech intelligibility in noisy environmentsYou will have the possibility of collaboration with, e.g., a PostDoc, another PhD student, and all other experienced SIP group members.
You will report to our Global Head of Signal Processing who will also organize the formal PhD (Dr.-Ing.) process with a German university.
What you bring
You have profound knowledge in the development of signal processing algorithms or a great expertise in machine learning methods or neural networks. Ideally you have some experience in audio signal processing or audio and data analysis. Furthermore, you are motivated by working together with others in teams, sharing and exchanging ideas, defining joint targets to reach them with great success.
Summarizing, you most likely fit the following profile:
· Master’s degree in electrical/electronic engineering or medical engineering, or any other relevant discipline
· Proficiency in digital signal processing, potentially also in machine learning and neural networks
· Structured working, analytical thinking, and good problem-solving skills
· Experiences in signal processing simulation, such as MATLAB / Simulink, or Python
· Proficiency in English, both spoken and written, as English is our corporate language, and your thesis will be submitted in English
What we offer
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