Research Aide - XSD - Tang, Jing - 5.29.26

Argonne National Laboratory•Lemont, IL

5d•Onsite

About The Position

The research aide will support the LDRD project Dr. XAS: AI for XAS Analysis, contributing to agentic computational workflows and prototype AI tools for X-ray absorption spectroscopy. The work will focus on building and curating XAS datasets and connecting experimental synchrotron measurements with theoretical simulations. The student may help research, organize, and run XAS simulations using theoretical and computational methods, including DFT-based approaches and related spectroscopy codes. The role also involves developing machine-learning and physics-aware AI models for spectral interpretation, building Python tools for data analysis and visualization, and creating agentic workflows to automate common XAS analysis and research tasks.

Requirements

Currently enrolled in undergraduate or graduate studies at an accredited institution, OR graduated from an accredited institution within the past 3 months; or actively enrolled in a graduate program at an accredited institution.
Must be 18 years or older at the time the appointment begins.
Must possess a cumulative GPA of 3.0 on a 4.0 scale.
May be required to complete pre-employment drug testing based on appointment length.
Must complete a satisfactory background check.

Responsibilities

Support the LDRD project Dr. XAS: AI for XAS Analysis
Contribute to agentic computational workflows and prototype AI tools for X-ray absorption spectroscopy
Build and curate XAS datasets
Connect experimental synchrotron measurements with theoretical simulations
Research, organize, and run XAS simulations using theoretical and computational methods, including DFT-based approaches and related spectroscopy codes
Develop machine-learning and physics-aware AI models for spectral interpretation
Build Python tools for data analysis and visualization
Create agentic workflows to automate common XAS analysis and research tasks