3 Jobs found for job www.kammarkollegiet.se engelska start in Sweden

Örebro University and the School of Science and Technology are looking for up to three doctoral students for the doctoral programme in Computer Science, concluding with a doctoral degree. Start date: Summer / Fall 2025.Project descriptionThe PhD students will be affiliated with the Department of Computer Science and will carry on research within the field of cybersecurity. All areas of cybersecurity are of interest. Examples of topics of interest (but not limited to):• Intersection of cybersecurity and AI, i.e., attacks and defenses leveraging AI solutions, or attacks and defenses within AI solutions (e.g., backdooring, model poisoning, membership inference), cybersecurity of generative AI / LLMs;• Cyber-physical systems security, e.g., in the fields of robotics, industrial plants, smart g...

Örebro University and the School of Science and Technology are looking for two doctoral students for the doctoral programme in Computer Science, concluding with a doctoral degree. Start date: Summer / Fall 2025.Project descriptionThe PhD students 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 ow...

The School of Science and Technology at Örebro University is looking for a doctoral student in machine learning for the doctoral program in computer science, concluding with a doctoral degree (PhD. in Computer Science). Start date: Summer / Fall 2025.Project descriptionThe research topic for this position is machine learning applied to one of the following focus areas of the Adaptive and Interpretable Learning Systems research group where the position is hosted:• Reinforcement learning, focusing on task priorities, composability of tasks and policies, constraints, and transfer.• Machine learning for counterfactual prediction and treatment effect estimation with large-scale observational data and deep learning models, focusing on countering selection bias, causal learning, identification of...