Smart Monitors and Neuromorphic Computing Expert

vor 3 Wochen


Graz, Steiermark, Österreich AVL List GmbH Vollzeit
Job Overview

We are seeking an exceptional candidate to work on a thesis project focused on smart monitors exploiting differential video sensors and neuromorphic computing.

About the Project

The selected individual will analyze state-of-the-art approaches to perform machine learning on DVS streams, select a suitable model, fine-tune it if necessary for an automotive scenario, and port the model to run on a neuromorphic computing system or simulator.

Responsibilities
  • Analyze and evaluate existing approaches to perform machine learning on DVS streams.
  • Select a suitable model and fine-tune it for a typical automotive scenario.
  • Alternatively, design a simple own model by applying multi-stage learning using an existing perception system as a feature extractor.
  • Port the model to run on a neuromorphic computing system or simulator.
  • Evaluate the performance of the model in typical driving scenarios on AVL's proving ground.
Your Profile

To succeed in this role, you should possess:

  • Ongoing studies in Computer Science, Telematics, Physics, or Electrical Engineering.
  • Good programming skills in Python.
  • Experience in data management and ML model development.
  • Good knowledge of German and English.
  • Availability to work at our headquarters in Graz.
What We Offer

As a valued member of our team, you will:

  • Have the opportunity to work independently on your thesis while receiving professional guidance and support from our experienced employees.
  • Be able to exchange ideas with experts in the company and benefit from their expertise.
  • Take the chance to immerse yourself in the world of AVL and apply your theoretical knowledge in a practical environment.
Remuneration

The successful completion of the thesis is remunerated with a one-time fee of 10,000 EUR tax-free.

Why Work with Us?

At AVL, we foster diversity and recognize that different backgrounds, attitudes, interests, and experiences make us successful. We offer equal opportunities to all qualified applicants without regard to ethnicity, religion, gender, sexual orientation, or disability status.



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