Research Scientist - Computational Chemist

At Meta's Reality Labs Research, our goal is to make world-class consumer virtual, augmented, and mixed reality experiences. Come work alongside industry-leading scientists and engineers to create the technology that makes MR, VR, and AR pervasive and universal. Join the adventure of a lifetime as we make science fiction real and change the world.The Material & System Innovation team is hiring a Research Scientist that will play a critical role in developing immersive systems. This scientist will focus on developing material, process and system innovation for near eye displays and beyond, and will become part of a team exploring novel concepts through design, modeling and fast iterative prototyping.

Research Scientist - Computational Chemist Responsibilities:

• Play a critical role in developing/identifying new materials and processes for AI devices
• Develop and 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 capacity to identify highly impactful projects in a complete and unexplored domain

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• PhD degree or equivalent experience in Computational Physics, Chemistry, Materials Science, Physics, or a related field
• 3+ years of 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
• Demonstrated experience in communication skills for board audiences
• Proficient in C/C++ and Python coding
• Knowledge of rare-event phenomena and advanced sampling techniques

• First-author publications in high quality journals or conferences
• Demonstrated research and engineering experience via grants, patents, internships, or competitions
• Skilled in problem-solving with consideration of broad range of perspectives, experiences, approaches, and background
• Experience communicating research to public or peer audiences
• Cross-functional teamwork and communication experience
• Expertise beyond DFT methods, such as GW and GW-BSE
• Research background in organic materials and excited-state properties
• Experience with Machine Learning, including Graph Neural Networks for material discovery