Working Student - Signal Processing and Machine Learning (all genders) - Erlangen / Nürnberg

Fraunhofer-Institut für Integrierte Schaltungen
Raum Erlangen / Nürnberg

Dein Job

The Fraunhofer-Gesellschaft is one of the world’s leading applied research organizations. 75 institutes develop cutting-edge technologies for our economy and society – more precisely: 32 000 people working in technology, science, administration and IT. They know: If you join Fraunhofer, then you are able to promote change. For themselves, for us and for the markets of today and tomorrow.

 

Welcome to Fraunhofer Institute for Integrated Circuits IIS! As the largest institute within the Fraunhofer-Gesellschaft, we have been conducting research for over 30 years in diverse fields such as artificial intelligence, microelectronics, sensor systems, data collection, signal processing and transmission. Talents from various engineering and natural science disciplines will find a wide range of exciting research topics under a single roof. A few highlights that reflect our innovative strength: Neuromorphic computing, 5G/6G mobile communication technologies, generative AI in speech and signal processing, and X-ray imaging for e-mobility. And that’s just the beginning! Which sustainable solutions will you find with us?

 

You are interested in combining research and practice and would like to develop further in the fields of Signal Processing and Machine Learning? Then have a look at our offer!

 

Here’s how you will make a difference

The division »Audio and Media Technologies (AME)« has been making its mark on media digitalization for over 30 years, developing pioneering standards such as MP3, AAC, xHE AAC, and EVS. Motivated by this success, the »Videocoding« group focuses on efficient multimedia representation and aims to transfer this know-how to solve new challenges in video coding for better user experiences and higher system efficiency.

  • Efficient processes: You optimize the next generation of image and video processing systems with Machine Learning models.
  • Entropy Coding: You implement efficient entropy coding frameworks with open source and proprietary libraries.
  • Team support: You coordinate with engineers and scientists in design and analysis of experimental results.
  • Data management: You manage the analysis and presentation of findings from quantitative and subjective quality tests.

Dein Profil

What you bring to the table

  • You are currently studying machine learning, signal processing, multimedia networks or a related field.
  • You have working experience with C++, python and machine learning frameworks such as PyTorch and TensorFlow.
  • You are interested in learning-based signal processing for communication systems.

 

What you can expect

  • 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 friendly working atmosphere in which your ideas are valued.
  • Variety that inspires: Look forward to divers tasks that inspire and challenge you.
  • Shape the future with us: Take part in application-oriented research and put your theoretical knowledge to practice.
  • Innovation that inspires: Exciting and pioneering projects that make a real difference.

 

We will agree your start date and weekly working hours with you individually (as a working student up to 20 hours per week) . 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. You can flexibly determine the working days of your fixed-term employment contract.

 

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.

 

Ready for change?

Then apply now and make the difference! (PDF: Cover Letter, Resume, Certificates).

Do you have questions about the application process? Our recruiter Svenja Hofmann will be happy to assist you: Phone +49 9131 776-1672.

Deine Benefits

Flexible Arbeitszeit
Hauseigene Kantine
Mobile Office
Dienstlaptop
Vertrauensarbeitszeit

Stellenmerkmale

Dein Beschäftigungsumfang

Teilzeit (befristet)

Dein Gehalt

Nach Vereinbarung

Dein Arbeitsplatz:

z.T. im Homeoffice

Dein Büro:

Raum Erlangen / Nürnberg

Ansprechpartner:in

Bei Fragen

Frau Svenja Hofmann

E-Mail

recruiting@iis.fraunhofer.de
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