Postdoc: AI-Driven Thin-Film Materials Synthesis (MBE)

The Pennsylvania State University; University Park (FL); On-site; USD 50,000 - 70,000; Full time

Job summary

The Pennsylvania State University Department of Materials Science and Engineering seeks a postdoctoral scholar to advance autonomous thin-film synthesis via molecular beam epitaxy. The role integrates MBE systems into the LATTICE cloud-lab ecosystem with emphasis on in situ feedback and AI/ML-driven workflows for synthesis and characterization.

Ideal candidates hold a PhD in a related field and have hands-on MBE experience.

Qualifications

• PhD in materials science, physics, or related field.
• Hands-on experience with molecular beam epitaxy synthesis required.
• Experience with chalcogenide, 2D, or III-V materials is a plus.

Responsibilities

• Develop and implement ML-enabled autonomous thin-film synthesis using MBE.
• Integrate experimental data and model outputs into the Lifetime Sample Tracking database.
• Collaborate with vendors, AI researchers, data scientists, and future users of LATTICE cloud lab.

Skills

MBE synthesis

Python programming

AI/ML workflows

Collaborative research

Education

PhD in Materials Science and Engineering or Physics

Tools

Lifetime Sample Tracking database

cloud lab interfaces

Job description

The Pennsylvania State University Department of Materials Science and Engineering seeks a postdoctoral scholar to advance autonomous thin-film synthesis via molecular beam epitaxy. The role integrates MBE systems into the LATTICE cloud-lab ecosystem with emphasis on in situ feedback and AI/ML-driven workflows for synthesis and characterization.

Ideal candidates hold a PhD in a related field and have hands-on MBE experience.