The Multiscale Modeling of Materials and Machine Learning Laboratory (M4L Lab: https://www.m4l-lab.com/) at Villanova University seeks one Ph.D. student. The successful applicant will work with Dr. David Cereceda on interdisciplinary research topics that involve Computational Materials Science, First-principles calculations, and Machine Learning. The position starts as early as Fall 2023. Evaluations will start immediately until the positions are filled.

Topic: First-principles calculations of structural fusion energy materials

The project aims to investigate the mechanical response of plasma-facing materials 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 ([email protected]) with their latest CV, a statement describing their research experience and interests, B.S. and M.S. transcripts, and the contact information for three references, all as email attachments in PDF format. This and any other specific inquiries should be addressed with “#Name: Ph.D. applicant-Fall-2023-DFT” in the subject line. Interested candidates are encouraged to submit these materials to Dr. David Cereceda before submitting the online application at Villanova University.