Take your next career step at ABB with a global team that is energizing the transformation of society and industry to achieve a more productive, sustainable future.
At ABB, we have the clear goal of driving diversity and inclusion across all dimensions: gender, LGBTQ+, abilities, ethnicity and generations. Together, we are embarking on a journey where each and every one of us, individually and collectively, welcomes and celebrates individual differences. In the case of equal suitability, people with severe disabilities and their equals are given preference.
ABB is a global technology leader in digital transformation of society and industry to achieve a more productive and sustainable future. At ABB Corporate Research, we explore novel technologies and innovative methods to enhance the core business strengths of ABB. The “Secure Connected Systems” research group combines connectivity, cyber security, and interoperability to enable and innovate Industrial IoT systems, e.g., by transferring recent academic insights, technology developments, and creative ideas into designs and prototypes for future products and systems.
KIT is one of eleven Universities of Excellence in Germany and excels in a broad range of disciplines, e.g., natural sciences, engineering, economics, and social sciences. The “Artificial Intelligence and Security” research group at KIT combines machine learning, or AI in the broader scope, and IT security. In particular, the group develops methods in system security and application security, for instance, approaches for attack detection or robustness of machine learning against attacks striving for "secure and explainable AI".
Together, we seek an excellent doctoral researcher working on AI and Security of Industrial Control Systems (ICS) to conduct top-notch research. You will do research on AI powered attack detection and mitigation in distributed, heterogeneous industrial control systems (ICS) and envision the use of AI on all levels of the system, from the smallest devices up to the cloud.
The research targets a fully automated orchestration of detection and mitigation. Decision-making can thereby happen on different levels, e.g., on devices for fastest response and with peer-to-peer exchange, on edge computing systems managing several devices, or on cloud systems orchestrating models and detection strategies. Core technologies may include distributed learning for automatically evolving models and strategies, explainable AI to gain insights into the decision-making process and as interface to the operator, and adversarial machine learning to ensure secure operation.
The position will be hosted 60% of the time at KIT (60% TV-L 13) and 40% of the time at ABB (40% EG11), with initial contract duration of 36 months.
Location: Karlsruhe (KIT: 60%) and Mannheim (ABB: 40%), Baden-Württemberg, Germany
Publication-ID: DE95512289
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