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Postdoc Position in Machine Learning and Coarse-Graining Simulations of Plasticity in Metals at Johns Hopkins University

Jaafar El-Awady's picture

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The Computational and Experimental Materials Engineering Laboratory in the Mechanical Engineering Department at Johns Hopkins University has one opening for a postdoctoral scholar with specific focus on utilization of machine learning methods and meso-scale materials modeling to expedite the process of predicting plasticity in metals during thermos-mechanical or chemo-mechanical conditions.

Postdoc applicants must have a strong background in machine learning methods, mechanics of materials, numerical methods or computational science, and ideally be proficient in C++.

Interested candidates should apply to Prof. Jaafar El-Awady at jelawady@jhu.edu (http://compmat.johnshopkins.edu/) with the subject “Postdoc Position” attaching the following:

1)      Cover letter and identify in it a potential starting date.

2)      Complete curriculum vitae.

3)      A copy of a publication that is representative of the candidate’s previous research utilizing machine learning.

4)      A list of 3 references (includes name, affiliation, and e-mail).

Evaluation of candidates will begin immediately and will continue until the position is filled.  Position is available immediately.

Comments

Jaafar El-Awady's picture

<p>position filled!</p>

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