9 months ago

Research Scientist, Thin Films

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Lead thin-film synthesis efforts in a cutting-edge AI + physical sciences lab, building experimental foundations for autonomous discovery loops. Collaborate with AI, computation, and engineering teams to advance PVD-based materials discovery, while ensuring safe, scalable automated growth and characterization workflows.

Location: Menlo Park

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Grow: Develop synthesis strategies to realize novel thin-film materials predicted by AI.
•Characterize: Determine and control crystal structures, defects, microstructures, and properties of previously unrealized compounds.
•Analyze: Partner with AI and computation teams to build predictive models of materials growth and properties grounded in physics and chemistry.
•Automate: Work with engineers to design, test, and deploy automated growth and characterization hardware.

Key Requirements

•PhD in chemistry, physics, or materials science, with 5+ years of hands-on experience.

Experience:5+ yearsMaterials scienceAI

Education:PhD / Doctorate

Skills:CollaborationCommunicationProblem-solvingAttention to detailTeamwork

Languages:English

Tech Stack:PVDSputteringPLDMBEDiffractionMicroscopySpectroscopyAutomationHigh-throughput

Company Brief

Periodic Labs

Periodic Labs (periodic.com) — Public information about this company’s products, industry focus, size, funding, and headquarters is not available. Check the company’s official profiles or contact them directly for accurate details about their offerings and operations.

Industry: Other

Website

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Periodic Labs

9 months ago

Research Scientist, Thin Films

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Menlo Park

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Grow: Develop synthesis strategies to realize novel thin-film materials predicted by AI.
•Characterize: Determine and control crystal structures, defects, microstructures, and properties of previously unrealized compounds.
•Analyze: Partner with AI and computation teams to build predictive models of materials growth and properties grounded in physics and chemistry.
•Automate: Work with engineers to design, test, and deploy automated growth and characterization hardware.

Key Requirements

•PhD in chemistry, physics, or materials science, with 5+ years of hands-on experience.

Experience:5+ yearsMaterials scienceAI

Education:PhD / Doctorate

Skills:CollaborationCommunicationProblem-solvingAttention to detailTeamwork

Languages:English

Tech Stack:PVDSputteringPLDMBEDiffractionMicroscopySpectroscopyAutomationHigh-throughput

Company Brief

Periodic Labs

Industry: Other

Website