Postdoc: Autonomous Discovery in Semiconductor Materials

National Laboratory of the Rockies; Golden (CO); On-site; USD 77,000 - 126,000; Full time

Job summary

National Laboratory of the Rockies in Golden, CO, seeks a Postdoctoral Researcher to advance autonomous experimentation in semiconductor materials. The role focuses on AI-driven closed-loop systems, integration of instruments, and data-driven discovery to accelerate materials research and DOE METALLIC and Genesis Mission initiatives.

The candidate will develop AI-enabled workflows across deposition and characterization tools, including MBE, PLD, and PVD, while collaborating with

Qualifications

• PhD in a relevant field is required or expected within last three years.
• Hands-on Python programming for scientific software is required.
• Experience developing software for scientific instrumentation & automation is required.
• Experience with machine learning or data-driven methods is preferred.
• Knowledge of materials science, vacuum-based processing, and semiconductor characterization is beneficial.

Responsibilities

• Design and deploy autonomous experimentation workflows for synthesis and characterization instruments.
• Integrate laboratory instrumentation, data infrastructure, and workflow orchestration into scalable platforms.
• Apply AI, robotics, and computer vision methods to materials science problems.
• Collaborate with scientists and engineers on autonomous experimentation projects.
• Diagnose and troubleshoot instrumentation, automation hardware, and software interfaces.

Skills

Python

Git

Lab automation

Machine learning

Materials science

Education

PhD in a relevant field

Tools

SCPI

OPC UA

Modbus RTU/TCP

NATS/MQTT

Instrument APIs

Job description

National Laboratory of the Rockies in Golden, CO, seeks a Postdoctoral Researcher to advance autonomous experimentation in semiconductor materials. The role focuses on AI-driven closed-loop systems, integration of instruments, and data-driven discovery to accelerate materials research and DOE METALLIC and Genesis Mission initiatives.

The candidate will develop AI-enabled workflows across deposition and characterization tools, including MBE, PLD, and PVD, while collaborating with