You work on advanced audio signal processing, focusing on Ambisonics coding and quality assessments while developing innovative methods and enhancing evaluation tools.
Anforderungen
- •Bachelor's degree in natural science
- •Currently studying for a master's degree
- •Experience with C programming language
- •Experience with Python programming language
- •Very good understanding of Linear Algebra
- •Excellent English skills
- •Excellent German skills
- •Solid English skills
- •Basic understanding of Digital Signal Processing
- •Basic understanding of Ambisonics
- •Interest in Immersive Audio Coding developments
Deine Aufgaben
- •Explore Ambisonics coding in mobile communications.
- •Develop and test methods for Ambisonics processing.
- •Investigate combined coding for Ambisonics and Object-Based Audio.
- •Set up and evaluate perceptual audio quality tests.
- •Enhance tools for quality evaluation assessments.
Deine Vorteile
Flexible working hours
Creative team atmosphere
Varied inspiring tasks
Active research participation
Exciting innovative projects
Original Beschreibung
Working Student / Master Thesis (all genders) - Audio Signal Processing at Fraunhofer-Institut für Integrierte Schaltungen IIS | softgarden
**You are interested in research and development in the field of Immersive Audio Coding?**
The department **»Audio and Media Technologies«** conducts research and development for audio codecs that meet the requirements of mobile communications applications and contributes to standardization efforts.
* **Immersive Audio Coding for Mobile Communications**: You will dive into the exciting world of Ambisonics coding within the innovative 3GPP IVAS codec.
* **Ambisonics Audio Processing**: You develop, implement, and test different methods for coding and rendering Ambisonics signals.
* **Combined Audio Formats**: You investigate improvements for combined coding and rendering of Ambisonics and Object-Based Audio.
* **Conducting Audio Quality Assessments**: You set up and evaluate perceptual audio quality tests (MUSHRA, Ref-A-B, P-800).
* **Optimizing Quality Evaluation Tools**: You use and improve tools for setting up and evaluating perceptual quality tests.
* You have a **bachelor’s degree** **in natural science or engineering**.
* You are currently **studying for a master’s degree**.
* You have **experience** with the **C** and **Python** programming languages.
* You have a very **good understanding** of **Linear Algebra**.
* You are **interested** in current developments in **Immersive Audio Coding**.
* You have excellent **English skills** or **excellent German skills** and **solid English skills**.
* You ideally have a **basic understanding** of **Digital Signal Processing** and Ambisonics.
* **Organize your schedule**: Benefit from flexible working hours that are perfectly compatible with your studies.
* **Become part of a creative team**: experience an open and collegial working atmosphere in which your ideas are valued.
* **Variety that inspires**: Look forward to varied tasks that inspire and challenge you.
* **Play an active role in shaping the future**: Take part in application-oriented research and put your theoretical knowledge into practice.
* **Innovations that inspire**: work on exciting and forward-looking projects that make a real difference.
We will agree your start date and weekly working hours with you individually (**12** to **20** hours per week as a working student). You can reduce your hours before exams and increase them during semester breaks. You can set your working days flexibly. After your studies, there are attractive opportunities to join the institute on a full-time or part-time basis.
We would be happy to offer you the opportunity to write a master's thesis in cooperation with us in the above-mentioned subject area. The thesis will be assigned and carried out in accordance with the rules of your university. For this reason, please discuss the thesis with a professor who can advise you over the course of the project.
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. Severely disabled people are given preference if they are equally qualified.