Postdoctoral Scholar — AI for Autonomous Thin-Film Synthesis

Penn State University; State College (Centre County); On-site; USD 55,000 - 75,000; Full time

Job summary

Penn State University in University Park invites applications for a postdoctoral scholar to advance machine learning for autonomous thin-film materials synthesis. The project, part of LATTICE, will build models for multimodal data from instruments like AFM, RHEED, ellipsometry, XRD, and more.

The scholar will deploy models on edge computing for real-time feedback, integrate with Lifetime Sample Tracking, and work closely with domain scientists, AI researchers, and future users of the framework.

Qualifications

• PhD in MSE, CS, EE, Physics, or related field.
• Strong research experience in applied machine learning, computer vision and/or scientific data analysis.
• Experience with real-time or edge-computing deployments is preferred.

Responsibilities

• Develop ML models to interpret data from instruments like AFM, RHEED, spectroscopic ellipsometry, XRD, and similar methods.
• Train, calibrate, and validate models across data modalities produced by LATTICE instrumentation.
• Deploy models on edge computing infrastructure and integrate with the Lifetime Sample Tracking data platform.

Skills

Machine learning

Computer vision

Scientific data analysis

Education

Ph.D. in a relevant field

Tools

Python

PyTorch

JAX

Job description

Penn State University in University Park invites applications for a postdoctoral scholar to advance machine learning for autonomous thin-film materials synthesis. The project, part of LATTICE, will build models for multimodal data from instruments like AFM, RHEED, ellipsometry, XRD, and more.

The scholar will deploy models on edge computing for real-time feedback, integrate with Lifetime Sample Tracking, and work closely with domain scientists, AI researchers, and future users of the framework.