Research Scientist Intern, Computational Chemist (PhD)
Description
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.
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.
Qualifications
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 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
Compensation: $7,313/month to $12,134/month + benefits