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leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and
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twins, semantic modeling, secure data exchange, and reconfigurable production architectures. The research will also be carried out in LTU’s AIC³ Lab, an advanced test environment for future industrial
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); specialization in digital twins and software engineering of control systems (PhD#3). Experience with swarm robotic systems, manipulator design, cyber-physical systems, SIMULINK, and robotic software development
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machine learning (TML). TML is a cross-disciplinary field that combines machine learning, security/privacy and transparency. As a doctoral researcher your goal is to conduct research in the fast-paced field
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that enable continuous compliance and resilience against cyber threats, particularly in complex ECU networks used in autonomous driving systems. This will be essential for maintaining trust and safety in
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to the security of our society. We teach and conduct research in cyber security, information security, communications networks and networked services. Our areas of expertise include biometrics, cyber defence
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, Policy & Management The Faculty of TPM provides an important contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber
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unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics
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opportunity to participate and propose other projects within the group and so also develop his/her/their own research agenda. We are working on various topics related to applied ML and cyber-security, including
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improved adaptability and scalability for autonomous vehicles, their black-box nature presents significant challenges for safety assurance. Traditional validation methods rely on pre-defined datasets