Research Scientist Materials Characterization
AI research and deployment company building AI scientists and autonomous laboratories for physical-science discovery.
About Periodic Labs
Periodic Labs develops specialized AI models and high-throughput autonomous labs that run and analyze physical experiments, initially for materials discovery including superconductors, magnets, and semiconductor applications.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design and perform high-fidelity thermodynamic, transport, and spectroscopic measurements of materials. You will develop high-throughput characterization methods, automate data analysis and reasoning pipelines, build feedback loops between measurements and predictions, commission instrumentation, maintain data standards, and uphold laboratory safety.
Requirements
- PhD in Physics, Materials Science, or a related field
- 5+ years of hands-on physical-property characterization experience
- Expertise in electronic and magnetic property measurements, including resistivity, Hall effect, magnetometry, and heat capacity
- Experience with cryogenic measurements, low-noise techniques, lock-in methods, shielding, grounding, and precision instrumentation
- Proficiency with Python, Jupyter, data analysis, and data management
- Scientific writing and cross-disciplinary collaboration skills
Responsibilities
- Develop and perform thermodynamic, transport, and spectroscopic materials measurements
- Design rapid property-measurement schemes for AI-guided discovery pipelines
- Implement automated data-analysis and reasoning pipelines
- Develop autonomous property-characterization systems using robotics and programmable instrumentation
- Evaluate, procure, commission, and customize instrumentation
- Define and enforce data standards, metadata schemas, and documentation practices
- Uphold laboratory safety standards