Audio Signal Processing Student Assistant

vor 1 Woche

Erlangen, Bayern, Deutschland Fraunhofer-Institut für Integrierte Schaltungen IIS Vollzeit
Join Our Team as a Student Assistant in Audio Signal Processing for Automotive Applications

We are seeking a highly motivated and skilled student assistant to join our team at Fraunhofer-Institut für Integrierte Schaltungen IIS. As a student assistant, you will have the opportunity to work on exciting projects in the field of audio signal processing for automotive applications.

About the Role
  • You will collaborate closely with our researchers to implement newly developed algorithms and assess them in simulations.
  • You will contribute to data acquisition in the form of measurements and recordings.
  • You will draft reports documenting the results obtained.
  • You will bring your own ideas to improve the approaches under consideration.
  • You will implement real-time programs to demonstrate applications to users.
  • You will support our software team in their daily work and long-term projects.
  • You will conduct research on audio signal processing in the automotive audio field.
What We Offer
  • Flexible working hours.
  • Open and friendly team work.
  • Varied tasks with room for creativity.
  • Exciting seminars and events.
  • Networking with scientists.
  • Active contribution in applied research.
  • Interesting and innovative projects.

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.

Requirements
  • You are currently enrolled for a technical/scientific degree and you will still be enrolled for at least one year.
  • You live near Erlangen or you plan to move there as remote work is only partially possible.
  • You possess skills in signal processing, meaning the terms: digital filters, linear time-invariant systems, Fourier transform, frequency domain, stationary processes are well-known to you.
  • You have programming skills in Python (especially Numpy and Scipy), C/C++ would be a plus.
  • You are self-organized, communicative and open to learn new things.
  • You speak English fluently.

We look forward to getting to know you and discussing your application.

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