Oxide & Ceramic Materials Scientist for AI-Driven Lab

Radical AI; New York (NY); On-site; USD 90,000 - 150,000; Full time

Job summary

Radical AI, a materials company in New York, is hiring a generalist materials scientist with deep experience in oxides and ceramics. You will define the composition space, set synthesis and characterization protocols, and guide the platform's rapid exploration across multiple material systems.

You will work across projects, review data as it comes in, and design experiments at scale with automation and AI integration. This role is based in New York City.

Qualifications

• PhD in materials science, ceramics engineering, chemistry, or a related field with oxide/ceramic materials experience.
• Hands-on oxide/ceramic synthesis and characterization (XRD, SEM) experience.
• Ability to work across multiple projects in a fast-paced, iterative environment with a keen interest in automation/AI.

Responsibilities

• Design and execute synthesis routes for oxide and ceramic materials across a range of compositions and applications.
• Characterize materials using standard techniques (XRD, SEM, and related methods) and use results to guide subsequent synthesis rounds.
• Apply generalist materials knowledge across multiple concurrent projects rather than specializing in a single system.
• Partner with Radical's automation and ML teams to translate domain expertise into the platform's experiment design.
• Contribute to the broader science roadmap as Radical's materials portfolio expands.

Skills

Oxide/ceramic materials synthesis

Generalist materials knowledge

Automation/AI interest

Education

PhD in materials science/ceramics/chemistry or related field

Tools

XRD

Electron microscopy

Job description

Radical AI, a materials company in New York, is hiring a generalist materials scientist with deep experience in oxides and ceramics. You will define the composition space, set synthesis and characterization protocols, and guide the platform's rapid exploration across multiple material systems.

You will work across projects, review data as it comes in, and design experiments at scale with automation and AI integration. This role is based in New York City.