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Field
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. The Risk and Infrastructure Systems Lab, led by Asst. Prof. Alex Sixie Cao, develops quantitative methods for understanding and managing the reliability, robustness, and safety of structures and
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techniques, and energy management system (EMS) for the energy efficient and reliable operation. • Perform HIL/real-time simulation studies/experiments for various cases to demonstrate performance
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provides such a chance. The position is available from 15th January 2027. Reliably detecting heat stress in time has been always a challenge in cattle barn. Early signs of heat stress can be subtle while
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to predict CVD risk and disease progression. As personalized therapies and AI-driven point-of-care tools become increasingly vital, this work plays a key role in promoting equitable access to care and expert
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the associated levels of assurance, verification and acceptance criteria; developing hazard analysis methodologies tailored to AI-based systems, extending traditional approaches, such as FMEA and FTA, to address
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talks, tours, media engagement, or community science activities. Experience with schedules, risk, scope, budgets, work breakdown structures, team coordination, or similar project-management practices
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through invasive catheter procedures. While these measurements provide valuable clinical information, they are costly, time-consuming and carry risks for patients. Developing reliable non-invasive
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quality-control materials, analytical review criteria, repeat-testing criteria, and evaluation of data reliability. Laboratory documentation and risk assessment – You may gain experience developing project
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have a strong academic background with a five-year master's degree in Geographic Information, Risk Management, Societal Safety, Urban Planning, or related field, or equivalent qualifications that provide
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testing, technical demonstrations Familiarity with safety engineering, reliability assessment, risk analysis, and design-for-operation considerations for robotic systems is advantageous. The successful