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Scania Group

Master Thesis – AI-Driven Automated Penetration Testing for Automotive ECUs

Scania Group

. Develop an AI-assisted framework for automated ECU security testing .

Posted 11/5/2026full-timeSödertälje • SwedenMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing AI-assisted frameworks for automated ECU security testing, integrating penetration testing tools, and conducting performance evaluations. Proficient in Python programming and familiar with automotive ECU communication interfaces.

Highest-signal resume keywords
Python-Based Proof Of Concept DevelopmentAutomotive ECU Communication InterfacesIntegration Of Penetration Testing ToolsLLM-Based Security Test GenerationPerformance Evaluation Of Security Tests

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Python ProgrammingAutomated Security TestingPerformance EvaluationAnomaly DetectionTest Case Generation
Tools & Technologies
Penetration Testing ToolsECU Simulation Environment
Industry Keywords
ECU Security TestingEthernetDoIPUDSCAN

Tech Stack

Tools & technologies
Cyber SecurityPython

About the role

Key responsibilities & impact
  • Develop an AI-assisted framework for automated ECU security testing
  • Integrate existing penetration testing tools and test scripts
  • Use LLM-based agents to generate and select security test cases
  • Automatically analyze ECU responses and identify anomalous behavior
  • Compare AI-assisted testing against traditional manual and scripted testing
  • Produce a Python-based proof of concept integrated with a simulated ECU or authorized test environment
  • Deliver automated security test generation and a performance evaluation covering detection rate, false positives, execution time and coverage
  • Support continuous cybersecurity validation across ECU software releases

Requirements

What you’ll need
  • Education/program/focus in Software development
  • Application must include a CV, personal letter and transcript of grades
  • Ability to develop a Python-based proof of concept
  • Knowledge or ability to work with automotive ECU communication interfaces, including Ethernet, DoIP, UDS and CAN
  • Ability to integrate penetration testing tools and test scripts
  • Ability to use LLM-based agents for security test generation and selection
  • Ability to analyze ECU responses and identify anomalous behavior
  • Ability to conduct performance evaluation covering detection rate, false positives, execution time and coverage
  • A background check might be conducted
  • Required travel: 0-25%

Benefits

Comp & perks
  • Thesis work as an opportunity to build relationships with Scania and potential future career opportunities
  • Estimated thesis duration of less than 6 months