Johns Hopkins University
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6 months ago
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PhD and Postdoc Openings in Computational Mechanics, ICME, and Machine Learning at Johns Hopkins University Johns Hopkins University in United States
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
Positions are available in a sponsored research project, implying funded PhD and postdoctoral research appointments. No stipend, tuition, or salary amount is stated.
Deadline
Expired
Country
United States
University
Johns Hopkins University
Suggested positions
Keywords
About this position
Johns Hopkins University is advertising PhD and postdoctoral researcher openings in the Computational Mechanics Research Laboratory (CMRL) and CISMMS within the Department of Civil and Systems Engineering. The positions are in the research group of Professor Somnath Ghosh and are tied to sponsored research objectives.
The research themes span computational mechanics, computational materials science, integrated computational materials engineering (ICME), machine learning, uncertainty quantification, multiscale modeling of fatigue and failure in metals and composites, phase-field modeling of failure, and crystal plasticity FEM of polycrystalline materials. This is a strong fit for students and researchers interested in mechanics, materials modeling, data-driven methods, and multiscale simulation.
Applicants from Mechanical Engineering, Civil Engineering, Materials Science, Aerospace Engineering, and Physics are specifically encouraged to apply, provided they have a strong background and interest in the listed areas.
To apply, interested candidates should email their resume/CV to [email protected]. The post also points to the lab website for additional information.
No deadline, stipend, or detailed funding package is stated, but the positions are described as being based on sponsored research.
Funding details
Positions are available in a sponsored research project, implying funded PhD and postdoctoral research appointments. No stipend, tuition, or salary amount is stated.
What's required
Applicants should have a strong background and interest in computational mechanics, computational materials science, integrated computational materials engineering (ICME), machine learning, uncertainty quantification, multiscale modeling of fatigue and failure in metals and composites, phase-field modeling of failure, or crystal plasticity FEM of polycrystalline materials. Eligible backgrounds include Mechanical Engineering, Civil Engineering, Materials Science, Aerospace Engineering, and Physics. The post does not specify degree prerequisites beyond PhD student and postdoctoral researcher roles.
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Prepare your application
Review drafts and confirm requirements with the university.
Professors
Professor
United States
Research Interests
Solid Mechanics
Materials Chemistry
Micromechanics
Computational Mechanics
Materials Science
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.