Research Scientist Intern, Computational Chemist (PhD)

Meta • Redmond, WA

1d

About The Position

Meta is seeking a Research Scientist Intern to develop new materials and processes for AI devices. Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.

Requirements

• Currently has or is in the process of obtaining a PhD degree in Computational Physics, Chemistry, Materials Science, Physics, or related field
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
• 2+ years experience in computational methods for material discovery, process, and device development
• Proficient with molecular dynamics software (LAMMPS, HOOMD) for organic and inorganic materials
• Skilled in force field development (GAFF, Openff, OPLS)
• Experienced with high-throughput ab-initio calculations (Gaussian, Orca, QEspresso, VASP)
• Familiar with coarse-grain molecular dynamics
• Proficient in C/C++ and Python coding
• Knowledge of rare-event phenomena and advanced sampling techniques
• Intent to return to a degree-program after the completion of the internship/co-op

Nice To Haves

• Familiarity with TorchSim, and solvers to include machine learning interatomic potentials for running large scale MD simulations
• Research background in organic materials and their mechanical properties
• Experience with Machine Learning, including Graph Neural Networks for material discovery
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications in top tier journals
• Demonstrated research and engineering experience via grants, patents, internships, or competitions
• Skilled in problem-solving with consideration of trade-offs and diverse perspectives
• Experience communicating research to public or peer audiences
• Experience working and communicating cross functionally in a team environment

Responsibilities

• Play a critical role in developing/identifying new materials and processes for AI devices.
• Develop/utilize advanced computational models and various approaches of first-principle simulations to understand the optical, electrical, mechanical and thermal properties of organic, inorganic and hybrid material systems.
• Support the team exploring novel concepts through design, modeling, and fast iterative prototyping.
• Develop and implement research agendas, apply high standards to the research, and develop an ability to identify highly impactful projects in a complete and unexplored domain.

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree