Doctoral student in Computer Science - Cybersecurity

Örebro University and the School of Science and Technology are looking for one doctoral student for the doctoral programme in Computer Science, concluding with a doctoral degree. Start date: Fall 2026. The PhD student will belong to the graduate school within the Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/ The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry. Project description The PhD student will be affiliated with the Department of Computer Science and will carry on research within the field of cybersecurity for embodied AI. While cybersecurity threats in AI are often studied in software-based environments, the physical embodiment of AI in robots and autonomous systems introduces new, largely unexplored risks and opportunities. This PhD project will investigate: How embodiment and physical configuration affect the cybersecurity posture of AI-driven systems; The role of self-awareness in security, i.e., how robots can assess their own vulnerabilities based