Research Associate - Thin Films (Fixed Term)

Periodic Labs • Menlo Park, CA

12d

About The Position

Join a world-class team of scientists and engineers pushing the boundaries of physical r&d in a groundbreaking lab where AI and automation unlock discoveries at unprecedented speed and scale.
Periodic Labs is seeking a hands-on Research Associate in Thin Films Materials Discovery. You will execute advanced deposition and nanofabrication processes, generate high-quality experimental data, and collaborate closely with AI and materials teams to translate precise lab work into scalable, data-driven breakthroughs.

This is a 12-month fixed-term position, with the potential to convert to full time.

Requirements

• Currently pursuing or recently completed a PhD (or advanced graduate degree) in materials science, physics, chemistry, or a related field — OR equivalent hands-on experience in research labs or process engineering
• Strong background in nanofabrication or thin-film processing in university or research lab environments
• Hands-on experience operating thin-film deposition or related fabrication tools
• Ability to ramp up quickly on new equipment and experimental workflows
• Strong documentation habits and attention to detail
• Comfortable working independently in shared research facilities

Nice To Haves

• Experience in university nanofabrication facilities (e.g., cleanroom environments)
• Familiarity with sputtering, evaporation, PLD, ALD, or related techniques
• Experience with basic thin-film characterization methods
• Exposure to materials research involving novel compounds or device structures
• Interest in working at the intersection of experimental science and AI-driven discovery

Responsibilities

• Execute thin-film deposition and related nanofabrication processes using advanced equipment in shared lab environments
• Prepare substrates, manage process flows, and maintain detailed experimental records
• Perform basic structural and materials characterization to evaluate film quality and properties
• Troubleshoot process issues and iterate quickly under guidance from senior team members
• Collaborate with AI and materials teams by generating high-quality experimental data
• Follow rigorous laboratory safety and facility protocols

What This Job Offers

• Education Level: Ph.D. or professional degree