Periodic Labs is building state-of-the-art models to make novel scientific discoveries in materials research, specifically focusing on thin-film synthesis and characterization to accelerate discovery loops.
Requirements
- 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 (diffraction, microscopy, spectroscopy).
- Experience probing the optical, electronic, magnetic, thermal, and/or other properties of thin films.
- 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.
- Characterize 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.
Other
- PhD in chemistry, physics, or materials science, with 5+ years of hands-on experience.
- 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 performing highly impactful research, demonstrated by publications in top tier journals and/or inventions, and recognized leadership in the field
- Experience working in national user facilities (synchrotrons, neutron sources, etc.).
