| Job Requisition Number: 22447. The Natural Hazards Engineering Research Infrastructure (NHERI) is supported by the National Science Foundation (NSF) as a distributed, multi-user national facility that will provide the natural hazards engineering community with access to research infrastructure. NHERI has the broad goal of supporting research that will improve the resilience and sustainability of civil infrastructure, such as buildings and other structures, underground structures, levees, and critical lifelines, against the natural hazards of earthquakes and windstorms, in order to minimize loss of life, damage, and economic loss. Headquartered at UC Berkeley, NHERI?s Computational Modeling and Simulation Center (SimCenter) will develop a portfolio of software and educational modules to enable new capabilities for earthquake, wind, and multi-hazard engineering research. Information about NHERI resources is available on the NHERI web portal (http://www.DesignSafe-ci.org). |
The SimCenter is providing computational modeling and simulation tools using a new open source simulation framework that: (1) addresses various natural hazards, such as windstorms, storm surge, tsunamis, and earthquakes; (2) tackles complex, scientific questions of concern to disciplines involved in natural hazards research, including earth sciences, geotechnical and structural engineering, architecture, urban planning, risk management, social sciences, public policy, and finance; (3) utilizes machine learning to facilitate and improve modeling and simulation using data obtained from experimental tests, field investigations, and previous simulations; (4) quantifies uncertainties associated with the simulation results obtained; (5) utilizes the high-performance parallel computing, data assimilation, and related capabilities provided by the DesignSafe-ci.org web portal to easily combine software applications into workflows of unprecedented sophistication and complexity; (6) extends and refines software tools for carrying out performance-based engineering evaluations and supporting decisions that enhance the resilience of communities susceptible to multiple natural hazards; and (7) utilizes existing applications that already provide many of the pieces of desired computational workflows. The resulting cloud-based ecosystem will allow multidisciplinary specialists and various stakeholders to collaborate on solutions to complex natural hazard engineering problems regardless of their local resources and geographic proximity.
The Applications Programmer will work with structural engineers to design and develop machine learning applications which will provide automation of modeling tasks that are needed in scientific workflows for regional hazard simulation. The work will range from data engineering to application deployment.