Research Scientist Intern, Computational Chemist (PhD)

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for META. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice. **Summary** 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. **Required Skills** Research Scientist Intern, Computational Chemist (PhD) 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. **Minimum Qualifications** Minimum 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 **Preferred Qualifications** Preferred Qualifications: * 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 **Public Compensation** $7,313/month to $12,134/month \+ benefits **Industry:** Internet **Equal Opportunity** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com. If you have questions about this posting, please contact support@lensa.com