Master's thesis - Safety verification of Deep Neural Networks for ADAS/AD Systems

Abschlussarbeiten - Stellenanzeige | AUDI


Arbeitgeber: Audi AG

Jobdatum: 24. Januar 2023

Einstiegsart: Abschlussarbeiten

Einsatzort: Ingolstadt; Bayern


Stellenbeschreibung - Master's thesis - Safety verification of Deep Neural Networks for ADAS/AD Systems

connecticum Job 1605968 / I-A-91350

Master's thesis - Safety verification of Deep Neural Networks for ADAS/AD Systems
Abschlussarbeiten (z. B. Diplomarbeit)
Ingolstadt
Forschung / Entwicklung
I-A-91350
To be filled:  

01.11.2023

Work Environment

The development team for ADAS/AD innovations at AUDI AG conducts cutting-edge multidisciplinary applied research on safety assurance of learning-enabled autonomous driving systems with a particular focus on providing methods and tools for the development of Audi's next generation autonomous driving systems. Your involvement in the pre-development of automated driving at AUDI AG will allow you to gain experience in this fast-growing field and participate in the development of conditional and highly automated driving functions in an environment that is both scientifically oriented and practical.

The Audi Verifiable AI (AVAI) project aims at bridging the gap between AI and formal verification areas to support homologation of Audi's next generations autonomous cars. It primarily focuses on developing methods and tools to ensure safety and security of learning-enabled ADAS/AD systems

Deep neural networks have been frequently applied in various domains such as image classification; however, they can surprisingly be unstable with respect to adversarial attacks or perturbations. This has led to safety concerns of deploying deep neural networks to safety-critical systems such as autonomous driving. To account for the latter and as a part of your thesis, you will develop new concepts and algorithms to ensure robustness and safety of neural networks.

Job Purpose/Role
  • Learning and mastering the relevant state of the art
  • Concept development and prototypical implementation of algorithms
  • Evaluation of the methods based on measured data

The exact topic is defined in collaboration with the supervising university.

Key Requirements/Skills/Experience
  • Course of studies in a technical area (e. g. computer science, mathematics or comparable) and excellent academic track record
    • Demonstrated experience in at least one of the following topics: machine learning, neural networks; computer vision; optimization theory; control theory or formal verification
    • Solid programming skills in Python or C++
    • Experience in AI and big data frameworks, e. g. TensorFlow, Keras, Scikit-learn
    • The ability to work autonomously in an international environment, creativity, team spirit and a pro-active attitude are imperative.
Additional information
This position is available at AUDI AG in Ingolstadt
ust for reasons of easier readability, only the grammatical male form is used in person names. This always means people of every gender identity.

We embrace diversity, actively encourage inclusion and create an environment that fosters each employee’s individuality in the interests of the company.

Reference code: I-A-91350

Informationen zur Bewerbung
Stellenangebot:

Master's thesis - Safety verification of Deep Neural Networks for ADAS/AD Systems

Jobkennzeichen:
Connecticum Job 1605968 / I-A-91350
Bereiche:
Informatik: Informatik
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