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Postdoctoral Researcher in Computational Solid Mechanics at FSU

We are seeking a highly motivated and enthusiastic researcher to fill a Postdoctoral Researcher position in Computational Solid Mechanics at the Florida A&M University-Florida State University College of Engineering (FAMU-FSU COE) in Tallahassee, Florida. The researcher will work on projects funded by the National Institutes of Health (NIH) aimed at developing novel computational techniques that leverage deep learning methods for solving problems in computational solid mechanics. Specifically, the successful candidate will be responsible for developing and implementing numerical algorithms that utilize deep learning techniques to solve nonlinear mechanics problems, with a particular emphasis on iterative solvers.

The ideal candidate should have a strong background in computational mechanics, solid mechanics, and numerical methods. A PhD in Mechanical Engineering, Aerospace Engineering, Applied Mathematics or related fields is required. Experience in developing and implementing deep learning methods, and deep knowledge of iterative solvers are highly desirable.



  • PhD in Mechanical Engineering, Theoretical and Applied Mechanics, Aerospace Engineering, Applied
    Mathematics, or related fields.
  • Strong background in computational mechanics and numerical methods.
  • Experience in developing and implementing deep learning methods, deep knowledge of iterative solvers,
    and experience with Krylov subspace techniques.
  • Proficiency in programming languages such as C/C++ and Python.
  • Experience with TensorFlow and/or PyTorch library, as well as Scikit-Learn and Pandas for deep learning
    and data processing.
  • Experience with finite element software packages such as ABAQUS.
  • Excellent written and verbal communication skills.
  • Ability to work independently as well as part of a team.

Contact: Professor Suvranu De

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