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from automated vehicles (AVs), they must be both safe and appreciated by drivers. This project uses modeling (e.g., AI/machine learning) and human behavior data to predict perceived safety and quantify
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The position gives a unique opportunity for cutting-edge research in multi-layer network security. The project focuses on enabling resilience, security and reliability of upper-layer network
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
professors and a dynamic team of PhD students and postdocs working in areas such as wireless and optical communication, information security, information theory, and machine learning. At the department, we
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We are looking for a PhD student to join the Crypto Team and Security Group at Chalmers with Christoph Egger as main supervisor. Depending on the interests of the applicant, possible research topics
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projects focused on neutron noise-based core diagnostics, where you will have the opportunity to contribute to groundbreaking research in nuclear reactor safety and monitoring. About us Our “Reactor physics
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engineering and maritime sciences: Dynamics, Fluid Dynamics, Vehicle Safety, Vehicle Engineering & Autonomous Systems, Combustion and Propulsion Systems, Marine Technology and Maritime Studies. The seven
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Safety, Vehicle Engineering & Autonomous Systems, Combustion and Propulsion Systems, Marine Technology and Maritime Studies. The seven divisions conduct fundamental and applied research in close
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the project goals. It is furthermore meritorious is if you have previous experience of: Working in a laboratory following safety guidelines and documentation of experiments. Microfabrication
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are unpredictable, e.g., unanticipated changes in the environment of the ACPS may cause a neural network to produce faulty outcomes that could endanger the safety of the system. To assure the safe and reliable