The Department of Civil and Environmental Engineering at the University of California, Berkeley, invites tenure-track faculty applications in the area of structural engineering for risk, reliability, and resilience.
Of particular interest are candidates who develop methods to examine the effects of interacting uncertainties via computational techniques at the interface between artificial intelligence/machine learning, risk and reliability analysis, decision theory, and their integration with prevailing simulation methods, such as digital-twins and finite element techniques.
Reliability, risk, and resilience modeling and assessment and decision-making based on such analyses are critical aspects of performance-based design of complex civil engineering systems, structures, and infrastructure. Performance-based engineering prior to, during, and after natural hazards such as earthquakes, tsunamis, firestorms, hurricanes, tornadoes, floods, extreme temperatures, as well as man-made hazards, is a pressing computationally demanding societal need. It is also recognized that analyses on an individual hazard-by-hazard basis can underestimate the threats to the built environment that sustains human activity on local and regional scales, particularly in view of a rapidly changing climate. These analyses need to also consider new material systems, aging infrastructure, and an ever-increasing wealth of monitoring data. This research area brings together probabilistic methods, predictive modeling, computational statistics, decision theory, and data-driven methodologies to characterize, model, and predict the effect of such threats and their mutual interactions on the built environment – all foundational elements of performance-based engineering.
Read more at https://aprecruit.berkeley.edu/JPF02674. Applications are due October 9.