Job Title: Ph.D. Student and Post-Doctoral Fellow Positions in Computational Engineering & Sciences 

Location of Position: Baltimore, Maryland

Employing Institution: Johns Hopkins University

Description of Position: The Computational Mechanics Research Laboratory (CMRL) at Johns Hopkins University is seeking to recruit outstanding Ph.D. candidates and Post-Doctoral Fellows, to work on ongoing projects in multiscale modeling of fatigue failure and damage in metallic and multifunctional composite materials. The researchers will be working with Prof. Somnath Ghosh at Johns Hopkins University on various projects sponsored by the Air Force, Army, Navy and NASA and involve industrial partners like Pratt & Whitney and GE. The GRA and Post-Doc positions will be fully funded with stipend and full tuition coverage.

The projects involve:
(i) Data-Driven Modeling, Machine Learning and Uncertainty Quantification for Multiple Spatio-Temporal Scales and Multiphysics Modeling,
(ii) Fatigue and Failure Modeling of Metallic Materials,
(iii) Multiscale Modeling of Additive Manufacturing from Performance to Life, and
(iv) Multiscale Modeling of Damage and Failure in Multifunctional Composites including ML-based Sensing Methods.

Please refer to the CMRL website at for more details.

Minimum Qualifications: Candidates must have a strong background and interest in computational solid mechanics, physical sciences and mathematics and computational engineering & sciences, and be proficient in computer code development. Candidates from various fields of Engineering & Sciences, including Mechanical Engineering, Civil Engineering, Aerospace, Materials Science & Engineering, as well as Physics, are encouraged to apply.

Application Procedure: Interested applicants should contact Prof. Somnath Ghosh.

Contact Information
Prof. Somnath Ghosh
Departments of Civil & Systems Engineering, Mechanical Engineering and Materials Science & Engineering, Johns Hopkins University
201F Latrobe, 3400 N. Charles Street, Baltimore, MD 21218
e-mail: [email protected]


Closing Date: 9/30/2022