Assistant Physicist
Core
Designing and deploying AI/ML-driven software to automate data acquisition, analysis, and closed-loop autonomous experiments for full-field x-ray imaging beamlines.
Role type
Senior IC machine-learning engineer (scientific imaging)
Builds
AI-powered software stack for x-ray tomography and high-speed imaging, including real-time reconstruction and autonomous experimental steering.
Domain
Synchrotron science / X-ray imaging / Artificial Intelligence
Deliverable
production ML models
Required skills
Deep learning model development (CNNs, vision transformers, diffusion models), Python, distributed training on HPC, scientific software engineering, experimental imaging data handling, version control (Git)
Preferred skills
X-ray imaging/tomography AI methods, closed-loop experimental workflow design, high-throughput data pipeline development, open-source scientific software contribution, metadata standards familiarity
Technologies
PyTorch, TensorFlow, Aurora supercomputer, APS beamline software stack
Responsibilities
Develop AI tools for reconstruction, super-resolution, and feature extraction; build closed-loop workflows for autonomous experiments; collaborate with CAI group on facility-wide AI infrastructure; create automated pipelines for data acquisition and quality control; support user operations and data collection; present research results at conferences.
Seniority
Senior, hands-on IC
