Research Prime

Computational Chemist - Materials & Devices

Organisation Name: Meta’s Reality Labs Research
Organisation Type:
City: Redmond,
State: WA
Country: United States

Job Description:

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 VR and AR pervasive and universal. Join the adventure of a lifetime as we make science fiction real and change the world. As a Computational Chemist at Meta, you will take a critical role in developing/identifying new materials for AR/VR systems. You will focus on developing/utilizing advanced computational models including ab-initio ground state using DFT and excited state calculations using beyond DFT approaches. You will become part of a team exploring novel concepts through design, modeling, and fast iterative prototyping. You will develop and implement the research agenda, publish world-class research works, and make external impact. You will apply high standards to research and develop an ability to identify highly impactful projects in a complex and unexplored domain. You will be able to gain valuable experience in a top-tier research institute, publish academic papers on a regular basis, and build your reputation across the world. Research areas may include Density Functional Theory, molecular dynamics, mesoscale and multiscale simulations.
Computational Chemist - Materials & Devices Responsibilities
  • Perform ab-initio simulations using commercial software like VASP, Gaussian, FHI-aim and/or open-source software packages such as QE, Orca, NWChem, etc. on small molecules.
  • Run large scale simulations to build a materials database.
  • Prepare input files, run large scale simulations using molecular dynamics for small molecules and polymers utilizing MLPs, and analyze the data and provide insights for material designs.
  • Collaborate with XFNs on bridging the gap between microscale and macroscale simulations and develop high fidelity multiscale models.
Minimum Qualifications
  • PhD degree or equivalent experience in Computational Physics, Computational Chemistry, or a related field.
  • 4+ years of experience in developing and utilizing ab-initio models.
  • Experience developing coarse-graining potentials for multiscale simulations of atomistic systems.
  • Experience coding in C/C++, Python, or other similar languages.
  • Experience with Machine Learning including GNNs for material discovery.
  • Experience solving analytical problems using analytic and quantitative approaches.
  • Experience communicating research to audiences with different backgrounds.
  • Research background in electroactive materials (organics and inorganics).
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications
  • Experience developing and using custom DFT codes to calculate mechanical and optical properties of organic materials.
  • Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions.
  • Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward.
  • Experience communicating research for public audiences of peers.
  • Experience working and communicating cross functionally in a team environment.
  • Experience having first-authored publications at top tier peer-reviewed conferences or journals.

Posting Date: Oct 11, 2023
Closing Date:
Organisation Website/Careers Page: https://www.metacareers.com/v2/jobs/897253145152230/


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