Internal doctoral project – Safety assurance of AI functions for human machine interaction systems

☞ AUDI AG

Aussicht: 185

Update Tag: 22-10-2024

Ort: Ingolstadt Bavaria

Kategorie: Informationstechnologie

Industrie: Automobil

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Jobinhalt

Work Environment

The upcoming generation of automotive human machine interface (HMI) systems will heavily depend on artificial intelligence (AI). Effective, safe, and user-friendly interaction between driver and vehicle is a key aspect here. AI-based driver-vehicle state models need to achieve the necessary quality and robustness for multilevel automated vehicles and to enable situation-adaptive human-machine interactions (HMIs). To account for the latter, the Ph.D. project focuses on development of scalable methods and tools for robustness evaluation and runtime monitoring of adaptive HMI systems. The work will be conducted under the KARLI project which is recently funded under the BMWi program and in collaboration with leading research and technology partners.

Job Purpose/Role

  • Develop and implement novel algorithms for safety verification and monitoring of AI functions
  • Collaborate and coordinate research activities with project partners from academia and industries
  • Publication of research results in primer machine learning/formal verification conferences and journals

Key Requirements/Skills/Experience

  • Master’s degree (or equivalent) in computer science, mathematics, or related disciplines
  • Strong background in at least one of the areas formal methods, control theory, machine learning, or artificial intelligence
  • Programming skills in at least one programming language, e.g. C/C++, Java, or Python
  • Experience in machine learning tools such as TensorFlow, PyTorch, Keras, Scikit-learn is desired
  • Strong communication and organizational skills and high level of self-motivation to work independently
  • Fluency in spoken and written English

    You and the doctoral program
  • You will gain three valuable years of professional experience
  • You will receive regular support and feedback from your department as well as from the university supervisor.
  • You will benefit from company soft skill seminars as well as from the active participation in various event modules such as Audi Pro.Motion doctoral student day and professional networking sessions which help to expand your professional network.
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Frist: 06-12-2024

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