Postdoc: AI-Driven MBE & Thin-Film Synthesis

Penn State University; University Park (TX); On-site; USD 52,000 - 70,000; Full time

Job summary

collaborating with vendors, AI researchers, data scientists, and future cloud-lab users. A PhD is required and Python/AI experience is a plus. University benefits apply for full-time appointments.

Qualifications

• PhD in Materials Science and Engineering, Physics, or a related field.
• Hands-on experience with molecular beam epitaxy synthesis is required.
• Preferred experience with chalcogenide, two-dimensional, and/or III-V semiconductor materials is preferred.
• Programming experience in Python or experience with machine automation or AI/ML workflows will be an advantage.

Responsibilities

• Integrate existing III-V and chalcogenide MBE systems into the LATTICE ecosystem.
• Emphasize in situ feedback and control and autonomous operation of deposition tools.
• Develop and adapt AI/ML workflows for synthesis and characterization.

Skills

MBE synthesis

Python programming

AI/ML workflows

Chalcogenide materials

2D materials

III-V semiconductors

Education

Ph.D. in Materials Science and Engineering, Physics, or related field

Job description

collaborating with vendors, AI researchers, data scientists, and future cloud-lab users. A PhD is required and Python/AI experience is a plus. University benefits apply for full-time appointments.