Location: Lemont, IL
Cap-Exempt H-1B Position — No lottery required
The Advanced Photon Source (APS) ( https://www.aps.anl.gov/ ) at Argonne National Laboratory invites applicants for an assistant computational scientist staff position to develop and apply artificial intelligence (AI) and machine learning (ML) methods for x-ray spectroscopy and spectromicroscopy. This role will focus on advancing the state-of-the-art in spectroscopy across fluorescence mapping and imaging, x-ray absorption near-edge structure (XANES), extended x-ray absorption fine structure (EXAFS), and related multimodal spectroscopy workflows. The successful candidate will: - Lead a research program focused on creating novel computational methods and AI-driven approaches for challenging analysis and inverse problems in x-ray spectroscopy. - Be responsible for developing and implementing advanced algorithms and AI/ML models for denoising, deconvolution, spectral fitting, unmixing, chemical-state identification, uncertainty-aware interpretation, and multimodal data fusion across fluorescence, XANES, EXAFS, and related experiments, with the goal of accelerating data analysis, improving quantitative accuracy, and enabling autonomous experiments. - Explore the use, adaptation, and fine-tuning of modern foundation models for scientific data analysis, representation learning, and multimodal reasoning in x-ray science. - Work closely with beamline scientists and participate in data-intensive experiments, reporting results in high-impact publications and at international conferences. - May be required to perform other duties as assigned. This position is part of the Computational science and AI group (CAI) ( https://cai.xray.aps.anl.gov/ ), a team of cross-disciplinary experts in ML, applied mathematics, high-performance computing, and x-ray science. The appointee will benefit from access to world-leading experimental and computational resources at Argonne, including the upgraded APS and the exascale Aurora supercomputer. **\\*\\*Candidates are encouraged to include a cov