The Risk Analysis and Reliability Engineering (RARE) Laboratory at the University of Pittsburgh's Swanson School of Engineering conducts research to advance probabilistic risk assessment (PRA) to enhance the safety, efficiency, and usability of nuclear energy systems. The lab develops advanced PRA methodologies integrating physics-based simulations, Bayesian inference, and AI/machine learning tools to support risk-informed decision-making for both existing nuclear fleets and advanced reactors. Current projects include PRA for advanced reactors, integrated energy systems risk analysis, and AI-driven safety analysis tools with broad applicability across high-consequence industries. Required Educational Background: PhD in nuclear engineering or a relevant field (mechanical engineering, industrial engineering, etc.) with a research focus on probabilistic risk assessment and reliability engineering of nuclear energy systems. Required Skillset: Familiarity with nuclear power plant systems and hands-on experience with PRA software (e.g., CAFTA, SAPHIRE, and OpenPSA). Proficiency in scientific programming (e.g., Python) and exposure to AI/ML methods are required. A strong track record of publications, teamwork, proposal writing support, and mentorship is expected. Responsibilities: Conduct research advancing PRA methodologies through expanded integration of physics-based simulations and AI tools. Disseminate research results through peer-reviewed journal publications and conference presentations. Support the PI in mentoring graduate and undergraduate researchers. Contribute to the development of external grant proposals. The University of Pittsburgh is an equal opportunity employer / disability / veteran.