Postdoc: AI for Autonomous Thin-Film Materials Synthesis

The Pennsylvania State University; Pennsylvania; Sur place; USD 48 000 - 64 000; Plein temps

Résumé du poste

The Pennsylvania State University invites applications for a Postdoctoral Scholar in the Reinhart Group, Materials Science and Engineering, University Park. The role focuses on machine learning for autonomous thin-film synthesis, including representation learning, multimodal data fusion, and real-time predictive modeling within LATTICE, a NSF programmable cloud lab.

The successful candidate will develop ML models to interpret data from AFM, RHEED, ellipsometry, XRD, and similar instruments,

Qualifications

• PhD in Materials Science and Engineering, Computer Science, Electrical Engineering, Physics, or related field.
• Strong record of research in applied machine learning, computer vision, or scientific data analysis.

Responsabilités

• Develop ML models for autonomous thin-film materials synthesis.
• Deploy models on edge computing infrastructure for real-time feedback during deposition.
• Collaborate with LATTICE scientists and AI researchers to integrate models with data platforms.

Connaissances

Machine learning

Python

Computer vision

Edge computing

Data fusion

PyTorch

JAX

Formation

PhD in MSE/CS/EE/Physics

Outils

Python

PyTorch

JAX

Description du poste

The Pennsylvania State University invites applications for a Postdoctoral Scholar in the Reinhart Group, Materials Science and Engineering, University Park. The role focuses on machine learning for autonomous thin-film synthesis, including representation learning, multimodal data fusion, and real-time predictive modeling within LATTICE, a NSF programmable cloud lab.

The successful candidate will develop ML models to interpret data from AFM, RHEED, ellipsometry, XRD, and similar instruments,