Postdoc: AI-Driven Thin-Film Synthesis & Autonomous MBE

The Pennsylvania State University; State College (Centre County); On-site; USD 58,000 - 72,000; Part time

Job summary

The Pennsylvania State University seeks a postdoctoral scholar in the Department of Materials Science and Engineering to work on machine learning for autonomous thin-film materials synthesis by molecular beam epitaxy (MBE). The role involves integrating MBE systems into the LATTICE cloud platform and developing AI/ML workflows for synthesis and characterization.

Applicants must have a PhD in a related field and hands-on MBE experience.

Qualifications

• PhD in Materials Science and Engineering, Physics, or related field.
• Hands-on experience with molecular beam epitaxy synthesis.

Responsibilities

• Integrate existing III-V and chalcogenide MBE systems into the LATTICE ecosystem.
• Develop AI/ML workflows for synthesis and characterization.
• Enable in situ feedback and autonomous operation of deposition tools.
• Contribute to cloud-lab interfaces and lifetime database integration.

Skills

Python programming

AI/ML workflows

MBE synthesis

Education

PhD in Materials Science and Engineering

PhD in Physics

Tools

Molecular beam epitaxy systems

Job description

The Pennsylvania State University seeks a postdoctoral scholar in the Department of Materials Science and Engineering to work on machine learning for autonomous thin-film materials synthesis by molecular beam epitaxy (MBE). The role involves integrating MBE systems into the LATTICE cloud platform and developing AI/ML workflows for synthesis and characterization.

Applicants must have a PhD in a related field and hands-on MBE experience.