Research Associate (f/m/d) for Speech and Audio Processing

With around 16,000 students and 3,800 employees, the Technische Universität Braunschweig is one of Germany´s leading institutes of technology. It stands for strategic and performance-oriented thinking and acting, relevant research, committed teaching, and the successful transfer of knowledge and technologies to the economy and society. We consistently advocate for family friendliness and equal opportunities.

Our research focuses are mobility, engineering for health, metrology, and city of the future. Strong engineering and natural sciences are our core disciplines. These are closely interconnected with economics, social and educational sciences and humanities.

Our campus is located in the midst of one of the most research-intensive regions in Europe. We work successfully together with over 20 research institutions in our neighborhood as we do with our international partner universities.

Starting from earliest possible date, the 'Signal Processing and Machine Learning' Group at the Institute of Communications Technology is looking for a

Research Associate / Postdoc / Doctoral Candidate (m/f/d) in the field of speech and audio processing

(EG 13 TV-L, full-time/part-time, limited contract for 2 years with a possible prolongation up to 6 years)

The 'Signal Processing and Machine Learning' Group at the Institute of Communications Technology has two vacancies in the area of speech and audio processing to be filled now or later.

Your tasks

- Development of deep neural network (DNN) systems for noise reduction for hearing aids and smartphones
- Training and test of very efficient DNNs for speech enhancement
- Research on generative approaches for speech enhancement
- Research on two-channel DNN solutions for extraction of a target speaker in hearing aids

Your Qualifications

- Completed scientific university studies, especially in the field(s) of computer science, information technology, electrical engineering, applied mathematics.
- Very good English and German language skills, both written and spoken
- Very good knowledge in machine learning, experience with training frameworks (e.g. PyTorch)
- Good knowledge in digital signal processing
- Fascination and engagement in machine learning!

We offer

- you the opportunity for scientific qualification with the goal of a PhD.
- Work on exciting future-oriented research topics in an inspiring work environment as part of the university community
- A vibrant campus life in an international atmosphere with lots of intercultural offers and international cooperations
- Pay in accordance with the collective agreement TV-L (a special payment at the end of the year as well as a supplementary benefit in the form of a company pension, comparable to a company pension in the private sector) including 30 days' vacation per year
- Flexible working and part-time options and a family-friendly university culture, awarded the "Family-friendly university" audit since 2007
- Special continuing education programs for young scientists, a postdoc program, as well as other offerings from the Central Personnel Development Department and sports activities.

Further notes

We welcome applicants of all nationalities. At the same time, we encourage people with severe disabilities to apply. Applications from severely disabled persons will be given preference if they are equally qualified. Please attach a proof of disability to your application. We are also working on the fulfilment of the Central Equality Plan based on the Lower Saxony Equal Rights Act (Niedersächsisches Gleichberechtigungsgesetz—NGG) and strive to reduce under-representation in all areas and positions as defined by the NGG. Therefore, applications from woman are particularly welcome in this case.

The personal data will be stored for the purpose of processing the application. By submitting your application, you agree that your data may be stored and processed electronically for application purposes in compliance with the provisions of data protection law. Further information on data protection can be found in our data protection regulations at www.tu-braunschweig.de/datenschutzerklaerung-bewerbungen. Application costs cannot be reimbursed.

Questions and Answers

For more information, please call Prof. Tim Fingscheidt on +49 (0) 531 391-2845.

Deadline for applications is 31.07.2024

Are you interested? Please send your application preferably via email to Prof. Tim Fingscheidt (t.fingscheidt@tu-bs.de), keyword 'SPEECH HGSP'.
Please summarize the usual documents (cover letter, certificates, curriculum vitae, etc.) in a pdf-file and state your suitability.

or via mail to

Technische Universität Braunschweig
Institut für Nachrichtentechnik
Schleinitzstraße 22
38106 Braunschweig