Research Scientist, Thin Films
Periodic Labs•Menlo Park, CA
•$225,000 - $325,000•Hybrid
About The Position
Join a world-class team of scientists and engineers pushing the boundaries of materials research in a groundbreaking lab where AI and automation unlock discoveries at unprecedented speed and scale. As a Research Scientist in Thin Film Materials Discovery, you will lead thin-film synthesis efforts using advanced PVD platforms, building the experimental foundation for autonomous discovery loops. You will collaborate with computational and AI scientists, and partner with engineers designing next-generation automated laboratory infrastructure.
Requirements
- PhD in chemistry, physics, or materials science, with 5+ years of hands-on experience
- Deep expertise with thin-film synthesis methods such as sputtering, PLD, and MBE, with demonstrated experience and creativity across diverse chemistries
- Strong skills in structural and chemical characterization, particularly of thin films and materials with structures or compositions never before realized experimentally — including diffraction, microscopy, and spectroscopy
- Experience probing the optical, electronic, magnetic, thermal, and/or other properties of thin films
- Proven record of collaboration with computational groups, especially for high-throughput materials discovery
- Demonstrated commitment to laboratory safety and stewardship, with hands-on experience in hazardous chemistries
- Strong track record of highly impactful research demonstrated by publications in top-tier journals and/or inventions, and recognized leadership in the field
Nice To Haves
- Experience working in national user facilities such as synchrotrons or neutron sources
- Development of novel synthesis or characterization techniques
- Comfort with large experimental datasets and analysis pipelines
- Experience with automation and scripting in laboratory environments
Responsibilities
- Develop synthesis strategies to realize novel thin-film materials predicted by AI
- Determine and control crystal structures, defects, microstructures, and properties of previously unrealized compounds
- Partner with AI and computation teams to build predictive models of materials growth and properties grounded in physics and chemistry
- Work with engineers to design, test, and deploy automated growth and characterization hardware
Benefits
- Visa sponsorship
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What This Job Offers
Job Type
Full-time
Career Level
Senior
