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Two fully funded Ph.D. positions in Materials Informatics and Computational Mechanics - Fall 2023

David Cereceda's picture
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材料和机器的多尺度建模Learning Laboratory (M4L Lab:https://www.m4l-lab.com/维拉诺瓦大学)正在寻找两个博士学位。students. The successful applicants will work with Dr. David Cereceda on interdisciplinary research topics that involve Materials Informatics and Computational Mechanics. The positions start as early as Fall 2023. Evaluations will start immediately until the positions are filled. Please, see the description of each position below.

Position 1

Topic:Materials Informatics

The main goal of the PhD project is to accelerate the discovery of high-entropy alloys and bio-inspired materials with superior properties by applying and developing different data-driven and physically-based approaches.

Qualifications:

  • Bachelor's or Master’s degree in Computer Science, Mechanical Engineering, Materials Science and Engineering, Physics, or related disciplines.

  • Active Learning, Bayesian Machine Learning, Scientific Machine Learning, Projection-based model reduction

  • Prior experience with High-Performance Computing is desirable but not required

  • Willingness and motivation to work in a highly interdisciplinary field.

Starting date:as early as Fall 2023.

Position 2

Topic:First-principles calculations of structural fusion energy materials

The goal of the project is to investigate the mechanical response of tungsten-based alloys exposed to fusion-like environments by using first-principles calculations based on density functional theory.

Qualifications:

  • Bachelor's or Master’s degree in Mechanical Engineering, Materials Science and Engineering, Physics, or related disciplines.

  • Prior experience in solid-state density-functional theory computations (VASP, QE).

  • Prior experience with High-Performance Computing is desirable but not required

  • Willingness and motivation to work in a highly interdisciplinary field.

Starting date:as early as Fall 2023.

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, English test scores (foreign applicants), 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: Ph.D. applicant-Fall-2023-imechanica - Position #(indicate number 1 or 2)” in the subject line. Interested candidates are encouraged to submit these materials to Dr. David Cereceda before submitting the online application at Villanova University.

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