Periodic Labs · 2 months ago
Research Scientist, Materials Characterization
Periodic Labs is an AI + physical sciences lab focused on making novel scientific discoveries. The Research Scientist will develop new material characterization approaches and contribute to autonomous discovery loops, leveraging AI predictions through physics and measurement science.
Artificial Intelligence (AI)Foundational AIGenerative AIMachine Learning
Responsibilities
Physical Property Measurements: Develop and perform high-fidelity thermodynamic, transport, and spectroscopic measurements of materials
High-throughput Screening: Develop rapid property measurement schemes to scale up the material characterization process
Analysis: In collaboration with our AI team, implement automated data analysis and reasoning pipelines for screened materials
Automation: In collaboration with our engineering team, develop autonomous systems for property characterization leveraging robotics
Qualification
Required
PhD in Physics, Materials Science, or related field, with 5+ years of hands-on experience in the field
Deep, demonstrated expertise in physical property characterization including electronic and magnetic measurements
Strong background in cryogenic measurements and low-noise techniques (lock-in methods, shielding/grounding, precision instrumentation)
Strong track record of performing highly impactful research, demonstrated by publications in top tier journals and/or inventions, and recognized leadership in the field
Proficiency with data analysis (e.g., Python/Jupyter, familiarity with instrument SDKs a plus) and disciplined data management
Excellent scientific writing, collaboration across disciplines, and strong ownership of experiment quality
Preferred
Experience with automation of physical property measurements
Previous experience with computational prediction and experimental characterization design loop
Experience with lab buildout and process safety
Experience with handling data at scale
Company
Periodic Labs
Periodic Labs develops artificial intelligence systems that simulate and predict the properties of materials using machine learning.
Funding
Current Stage
Early StageTotal Funding
$300M2025-09-30Seed· $300M
Recent News
Business Insider
2025-12-26
Inside HPC & AI News | High-Performance Computing & Artificial Intelligence
2025-12-20
Company data provided by crunchbase