Job Title: Postdoctoral Scholar

Location of Position: San Diego, California

Employing Institution: University of California, San Diego

Description of Position: Postdoctoral positions are available in the department of Structural Engineering at the University of California, San Diego (UCSD) in Prof. Semnani’s research group. The positions involve developing state-of-the-art artificial intelligence and geomechanical modeling techniques for landslide hazard assessment. The project is an opportunity to collaborate with experts in high-performance computing, geomechanics and climate modeling. We are looking for highly motivated and talented individuals with a recent PhD degree in Civil and Environmental Engineering, Mechanical and Aerospace Engineering, Applied Mathematics, Geophysics, or related fields. A list of necessary qualifications is below:

  • Knowledge of machine learning and applications using python programming
  • Demonstrated background in computer programming using python and/or C++.
  • Experience with at least one common numerical modeling technique, such as Finite Element Method, Material Point Method, Discrete Element Method, etc.
  • Experience with analyzing geospatial data (e.g. GIS) and/or landslide modeling is a plus, but not required.
The appointment is for one year with the possibility of extension based on performance. Review of applications will start immediately and will continue until the positions are filled, and start date is flexible. Interested candidates should fill out the application form below. (https://forms.gle/KmjzEapEjhzYnBrw6)

More information about Prof. Semnani’s research group can be found through the following website: https://semnani.eng.ucsd.edu/
More information about the Department of Structural Engineering at UCSD is available through the following link: https://se.ucsd.edu/

Minimum Qualifications: 

  • A recent PhD degree in Civil and Environmental Engineering, Mechanical and Aerospace Engineering, Applied Mathematics, Geophysics, or related fields.
  • Knowledge of machine learning and applications using python programming
  • Demonstrated background in computer programming using python and/or C++.
  • Experience with at least one common numerical modeling technique, such as Finite Element Method, Material Point Method, Discrete Element Method, etc.

Application Procedure: Interested candidates should fill out the application form: https://forms.gle/KmjzEapEjhzYnBrw6

Contact Information: Prof. Shabnam Semnani

Website: https://semnani.eng.ucsd.edu/

Closing Date: 1/17/2022