Research Scientist, Materials Characterization

What you'll do

• Develop high-fidelity thermodynamic, transport, and spectroscopic measurements and rapid property-measurement schemes.
• Build automated data-analysis pipelines and autonomous characterization systems with AI and engineering teams.
• Commission instrumentation and establish data standards, documentation, and measurement quality practices.

What they ask for

• PhD in Physics, Materials Science, or a related field, with 5+ years of hands-on physical property characterization experience.
• Demonstrated expertise in electronic and magnetic measurements, including resistivity, Hall effect, magnetometry, and heat capacity.
• Strong background in cryogenic measurements and low-noise techniques, including lock-in methods, shielding/grounding, and precision instrumentation.
• Impactful research shown through top-tier publications and/or inventions, and recognized field leadership.

Nice to have

• Experience automating physical property measurement platforms, computational prediction and experimental characterization loops, or spectroscopic techniques.
• Experience with lab buildout, instrument commissioning, process safety, large-scale data management, LIMS, or national laboratories/user facilities.

Pay

$250,000-350,000 USD base salary

Tools

Python/Jupyter, PPMS, MPMS, LIMS

AI focus

Contributes to AI-guided discovery by feeding measurements into prediction pipelines, implementing automated data analysis and reasoning, and developing measurement–prediction feedback loops.