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[½»Á÷] Villanova(·Ñ³Ç)´óѧ»úеϵ - ²ÄÁϼÆËã/»úÆ÷ѧϰ·½Ïò Á½¸ö²©Ê¿ÉúÈ«½±

ÃÀ¹úάÀ­ÅµÍß´óѧ£¨Villanova University£¬Philadelphia, USnewsÅÅÃû49£©»úе¹¤³ÌϵDavid Cereceda½ÌÊÚ¿ÎÌâ×éÏÖÕÐÊÕ2Ãû²©Ê¿Ñо¿Éú£¬Ìṩȫ¶î½±Ñ§½ðºÍ×ÊÖú¡£

Ph.D. student Position 1:
Topic:  Physics-informed machine learning models of bio-inspired materials
Qualifications:
•     Bachelor 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.
•     Prior experience in numerical modeling with FEM (ABAQUS, ANSYS).
•     Prior experience with High-Performance Computing is desirable but not required
•     Willingness and motivation to work in a highly interdisciplinary field.

Ph.D. student Position 2:
Topic: First-principles calculations of structural fusion energy materials
Qualifications:
• Bachelor 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.

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ÁªÏµµ¼Ê¦£ºÓÐÒâÉêÇëÕßÇ뽫ÈçϲÄÁÏ·¢ËÍÖÁdavid.cereceda@villanova.edu
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: Ph.D. applicant-Fall-2022" 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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•        A Quantitative GRE score above 155.
•        A TOEFL score above 90 or an IELTS score above 7¡£

µ¼Ê¦ÍøÒ³£ºhttps://www.m4l-lab.com/

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Dr. David Cereceda is an Assistant Professor in the Department of Mechanical Engineering at Villanova University. Before joining Villanova, Dr. David Cereceda was a Postdoctoral Fellow with Prof. Lori Graham-Brady at Johns Hopkins University, within the Hopkins Extreme Materials
Institute. His research at Hopkins is aimed at understanding the dynamic fragmentation of brittle materials under extreme loading conditions. Dr. David Cereceda received his Ph.D. in Nuclear Engineering from Polytechnic University of Madrid in 2015, under the guidance of Prof. Jaime
Marian and Prof. Jos¨¦ Manuel Perlado. His Ph.D. research, performed at Lawrence Livermore National Laboratory and University of California Los Angeles, was focused on the multiscale modeling of body-centered cubic metals like tungsten from atomistic to engineering scales. His
current research focuses on facilitating the discovery, development, and deployment of next generation structural and bio-inspired materials by creating and validating computational models that leverage physics-based and data-driven techniques.

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