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One fully funded Ph.D. position in Bio-inspired Computational Mechanics and Machine Learning - Fall 2022

David Cereceda's picture

The Multiscale Modeling of Materials and Machine Learning Laboratory (M4L Lab: https://www.m4l-lab.com/) at Villanova University is looking for one Ph.D. student. The successful applicant will work with Dr. David Cereceda on interdisciplinary research topics that involve Computational Mechanics, Bio-inspired materials, and Machine Learning. The position starts as early as Fall 2022. Evaluations will start immediately until the positions are filled. Please, see the description of each position below.

 

Qualifications:

  • Bachelor’s or Master’s degree in Mechanical Engineering, Materials Science and Engineering, Physics, or related disciplines.
  • Strong background in machine learning and deep learning.
  • Strong background in Solid and Computational Mechanics is desirable but not required. 
  • Prior experience in numerical modeling with FEM (ABAQUS, ANSYS) is desirable but not required.
  • Prior experience with High-Performance Computing is desirable but not required
  • Willingness and motivation to work in a highly interdisciplinary field. 

 

Starting date: Fall 2022.

 

How to apply

Interested candidates are invited to email Dr. David Cereceda (david.cereceda@villanova.edu) with their latest CV, a statement describing their research experience and interests, B.S. and M.S. transcripts, and the contact information for 3 references, all as email attachments in PDF format. This and any other specific inquiries should be addressed with “#Name: Postdoc applicant-Fall-2022” (for postdoc position) or “#Name: Ph.D. applicant-Fall-2022” (for Ph.D. position) in the subject line. Interested candidates are encouraged to submit these materials to Dr. David Cereceda before submitting the online application at Villanova University.

 

More information: https://www.m4l-lab.com/openings

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