Master Thesis: End-to-End Automotive Cybersecurity

Volvo Group

Göteborgs kommun

Vor Ort

SEK 167.000 - 279.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Zusammenfassung

Volvo Group is seeking a motivated master's student to explore an End-to-End Supply Chain Cybersecurity Assurance Framework. You will investigate transparency, traceability, and evidence-based assurance across software, hardware, and third-party components in automotive supply chains.

The project will examine regulatory mappings (ISO/SAE 21434, UNECE R155/R156, EU Cyber Resilience Act) and explore AI/LLM support for cybersecurity analysis and decision making, with a view to scalable, verifiable

Qualifikationen

  • Master's student with interest in cybersecurity and automotive tech.
  • Strong analytical and collaborative problem-solving skills.
  • Interest in regulatory compliance and standards (ISO/SAE 21434, UNECE R155/R156).

Aufgaben

  • Develop a scalable framework for cybersecurity assurance across the automotive supply chain.
  • Assess governance, traceability, and evidence-based verification approaches.
  • Collaborate with supervisors to align with industry regulations and standards.

Kenntnisse

Cybersecurity
Information security
Embedded systems
Automotive systems
Software architecture
Regulatory compliance
Risk management
AI/ML or LLMs

Ausbildung

Master's student in CS/SE/Embedded systems

Tools

SBOM/HBOM/CBOM

Jobbeschreibung

Volvo Group is seeking a motivated master's student to explore an End-to-End Supply Chain Cybersecurity Assurance Framework. You will investigate transparency, traceability, and evidence-based assurance across software, hardware, and third-party components in automotive supply chains.

The project will examine regulatory mappings (ISO/SAE 21434, UNECE R155/R156, EU Cyber Resilience Act) and explore AI/LLM support for cybersecurity analysis and decision making, with a view to scalable, verifiable

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