City:  Erlangen
Date:  Jun 18, 2022

Research Associate - Deep Learning for Dialogue Enhancement

The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around 30 000 employees work with an annual research budget of 2.9 billion euros. 

The »Audio and Media Technologies« division of Fraunhofer IIS constitutes one of the world’s largest organizations dedicated to audio, speech, and media processing. It has been an innovator in sound and vision for over 30 years. Starting with the creation of mp3 and continuing with the co-development of AAC and the Digital Cinema Initiative test plan, almost all consumer electronic devices, computers and mobile phones are equipped with systems and technologies from Erlangen today. Meanwhile, a new generation of best-in-class media technologies – such as MPEG-H Audio – is elevating the user experience to new heights. Over 400 engineers and scientists develop first-rate technology, which is licensed worldwide.

 

What you will do

You have always been interested in speech and audio and you find recent advancements in deep learning exciting?

 

Then just read on!

Our dialogue enhancement team is looking for a research engineer or research scientist to develop cutting-edge technologies based on deep learning for our products. Our team is committed to making audio in broadcasting and streaming more accessible and personalized for everyone. Deep neural networks can help us do so, as shown in our co-operations with broadcasters. Your role will be to investigate and implement new machine learning concepts to separate and enhance speech from a final audio track in an efficient way and with excellent audio quality. This process can significantly impact  the quality of life of people struggling every day with understanding dialogues in movies, news, and TV programs.

 

What you bring to the table

  • A scientific degree (Master, PhD or equivalent) in Electrical Engineering, Computer Science, Engineering Sciences, Media Technologies, Neurosciences, or a related subject
  • Expertise in machine learning and deep neural networks
  • Sound knowledge in audio digital signal processing, especially related to speech processing.
  • Good programming skills, at least in Python and PyTorch, and preferably knowledge in MATLAB and C/C++
  • Fluent English for collaborative work in an international team - German is a plus
  • Strong publication record and/or industry experience are beneficial

 

What you can expect

We offer you varied and challenging work in an enthusiastic team. You can contribute with your ideas and help design new concepts. Regular training is given, as are flexible, family-friendly work arrangements such as part-time contracts. You will have a state-of-the-art workstation in a modern, bright 2- to 3-person office

 

For more details click here: https://www.iis.fraunhofer.de/en/jobs/arbeiten.html

 

The position is initially limited to 2 years with the aim to extend it subsequently. The weekly working time is 39 hours. This vacancy is also available on a part-time basis. We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Appointment, remuneration and social security benefits based on the public-sector collective wage agreement (TVöD). Additionally Fraunhofer may grant performance-based variable remuneration components.

 

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. 

 

Interested? Join our team and work with us on the technology of tomorrow! We look forward to receiving your complete online application (cover letter, CV, transcripts).

 

Claudia Kestler-Böhm

Important: Please do not forget to click on the "Apply" button after clicking the "Save" button, otherwise your application will not reach us.

 

Fraunhofer Institute for Integrated Circuits IIS 

For more information about the institute and its products and services, please visit:

www.iis.fraunhofer.de 

 

Requisition Number: 7242                

 


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