Multiple Open Postdoctoral Positions: NHERI SimCenter @ Berkeley

Postdoctoral Positions Available: Computational Solid and Fluid Mechanics for Probabilistic Simulation and Machine Learning Applied to Performance Based Engineering.  Natural Hazards Engineering Research Initiative SimCenter @ UC Berkeley

UC Berkeley’s recently funded SimCenter project has multiple immediate openings in the finite element modeling thrust area for postdoctoral researchers to work on a new 5 year Natural Hazards Engineering Research Initiative funded by the National Science Foundation. We are looking for qualified, motivated researchers with interest and experience in simulation based approaches to Natural Hazards Engineering.  Competitive applicants will have strong software development experience with knowledge of computational modeling systems for structural analysis, wind modeling, tsunami modeling, and/or geo-technical simulation.  Candidates will ideally have demonstrated interest or experience in one or more of the following areas: machine learning; probabilistic simulation; performance based engineering; and/or community resilience.

The project involves the creation of next-generation simulation applications and educational resources for natural hazards engineering on a scale ranging from single buildings to metropolitan areas.  This is a high impact applied effort involving multiple researchers spread across the United States.  The home base for the postdocs will be UC Berkeley.

Advanced skills in computer programming are required.  Candidates should have demonstrated experience (3–5 years) in one or more of the following: software engineering and software design; high-performance computing, scientific workflow systems, and/or hybrid simulation frameworks; community software development, version control, documentation, and maintenance; proven knowledge of computer languages used in scientific computing (e.g., C, C++, Modern Fortran), and knowledge of scripting languages used in scientific data processing (e.g., Matlab, R, Python); as well as proven experience/knowledge of parallel and multi-thread programming (e.g., MPI, OpenMP, CUDA) and I/O tools for parallel access and management of large datasets.  In addition the candidates must have excellent English language skills, social skills, design sense, and team spirit. Candidates need to be able and willing to work in a highly interdisciplinary environment.

Candidates should submit their application materials as a single pdf file (< 5 MB), including a short motivational letter, their CV, and copies of academic credentials (bachelor, master/diploma, and PhD) with attention to: Professor Sanjay Govindjee <s_g@berkeley.edu>.  Applicants are encouraged to submit their materials as soon as possible. Review of applications will begin on March 13, 2017, and will continue until the positions are filled. The successful candidate is expected to start working in Berkeley from spring 2017 or no later than summer 2017.