Conduct research and development on automotive-related products, using AI / ML / DL-based technologies
Develop and implement models for identifying and mitigating potential threats and risks in automotive systems, including asset connectivity construction, threat scenarios with attack path/feasibility evaluation, and damage scenarios with impact assessment.
Work closely with cross-functional and cross-regional teams, including software engineers, cybersecurity specialists, and product managers, to design and implement innovative solutions.
Requirements & Skills:
Master’s degree or above in AI, Machine Learning, or Computer Science.
Minimum 3 years of hands-on/practical industry experience in the field of Data Science / AI.
Proven experience in AI and machine learning, particularly in the context of cybersecurity.
Self-driven and result-oriented person.
Good communication skills across a variety of audiences (e.g. Stakeholders, S/W teams, …)
Previous experience in integrating AI technologies into automotive products.
Familiarity with cybersecurity tools and technologies (e.g., SIEM, IDS/IPS).
Experience in identifying and prioritizing security weaknesses using SAST & DAST Tools.
Experience with Threat modelling frameworks such as STRIDE, DREAD, PASTA
Experience in developing threat mitigation solutions such as IDS/IPS, firewalls
