Position Opening

Currently, I have a number of openings for highly motivated Ph.D. students to join my research group at the University of Nevada, Reno. A high-level description of prospect projects and required background is provided below. Please send me your complete C.V. if you are interested (email to hebrahimian@unr.edu).

Project theme 1 – Damage diagnosis technology for civil structures:

 

The prospect research will be focused on developing practical technologies for operational monitoring and rapid post-disaster assessment of civil structures (emphasis on bridges, buildings, and energy-related infrastructures). Through this research, the graduate student will become an expert in (i) nonlinear finite element (FE) modeling and response simulation techniques, and (ii) structural health monitoring, nonlinear system identification and model updating techniques.

You should be interested in learning theoretical methods, solving mathematical problems, and developing and implementing large-scale computer codes. To be eligible, you should have a solid background and interest in one or multiple of the following subjects:

  • Nonlinear computational mechanics, nonlinear FE modeling and response simulation in OpenSees and/or LS-DYNA – experience in nonlinear mechanics of reinforced concrete is a plus.

  • Computer programming – past experience with Matlab, Python, and/or C++. Experience with cloud computing and GPU-based computing is a plus.

  • Methods for structural sensing, monitoring, and system identification.

  • Random vibrations, stochastic signal processing. 

  • Engineering mathematics, statistics, and probability theorem.

  • Neural networks and artificial intelligence.

  • Parameter estimation, model inversion, optimization.

Project theme 2 – Experimental structural mechanics:

 

The prospect research will be focused on laboratory experiment of large-scale specimens, developing computational models, and concluding practical design and assessment provisions. Through this research, the graduate student will gain experience in (i) large-scale experimental research (including specimen design, construction, instrumentation, and testing), and (ii) nonlinear modeling and response simulation techniques.

To be eligible, you should have a solid background and interest in one or multiple of the following subjects:

  • Laboratory experiment of large-scale specimens.

  • Nonlinear computational mechanics, nonlinear FE modeling and response simulation in OpenSees and/or LS-DYNA.

  • Developing and/or implementing nonlinear material models for structural components.

  • Methods for structural instrumentation, sensing, and monitoring.

  • Structural design.

© 2014-2021 by Hamed Ebrahimian.