The Argonne National Laboratory at U.S. Department of Energy supported research programs invites applications for a Postdoctoral Research Associate position focused on understanding the relative role of land–atmosphere interactions in S2S predictability; impacts on boundary layer
The Computing, Environment, and Life Sciences (CELS) Directorate seeks an outstanding scientist to lead and support frontier research at the intersection of AI, autonomous platforms, data infrastructure, and domain science. The candidate will have established expertise across
Argonne National Laboratory is a multidisciplinary science and engineering research center where talented scientists and engineers work together to answer the biggest questions facing humanity, from how to obtain affordable clean energy to how to protect
The X-ray Imaging Group (https://www.aps.anl.gov/Imaging) of the X-ray Science Division (XSD) operates the full-field x-ray imaging beamlines at the Advanced Photon Source (APS) (https://www.aps.anl.gov/) and pursues collaborative research across materials, energy, environmental, geo-, and life sciences
Argonne National Laboratory invites applications for the position of Director of the High Energy Physics (HEP) Division, a core research division within the Physical Sciences and Engineering Directorate. The HEP Division advances discovery at the frontiers
The Center for Nanoscale Materials (CNM) at Argonne National Laboratory invites applications for a postdoctoral research position focused on developing AI/ML methods for autonomous materials discovery and synthesis. We are seeking a creative and collaborative researcher
The Argonne Introduction to High-Performance Computing (HPC) Bootcamp provides STEM students with a one-week immersive, hands-on experience applying computational and data science tools and techniques to complex science problems. Education and Experience Requirements Community college, undergraduate, or
This project will study the performance of the rotated surface code in a distributed quantum computing setting under realistic dynamical noise models using numerical simulations. The student will investigate how time-dependent errors, communication imperfections, and inter-node operations
Machine Learning and High-Performance Computing for Synchrotron Beamline X-Ray Diffraction Analysis of Tribological Failure. High-Performance Computing & Artificial Intelligence. Members of the Interfacial Mechanics & Materials Section will mentor the intern in research on material evolution during tribological
Location(s) Lisle, Illinois Company Molex Career Field Engineering Job Number 183977 Your Job We are seeking a highly motivated engineer to develop and apply artificial intelligence and machine learning (AI/ML) techniques to accelerate structural and electrical
Q-NEXT and the Argonne Quantum Foundry invites applications for a Full-Stack Database Programmer / Technical Developer to support the development, implementation, and maintenance of data infrastructure used in materials synthesis, model and experiment interoperability, autonomous discovery
Director for the Chemical Sciences and Engineering Division Argonne National Laboratory invites applications for the position of Director for the Chemical Sciences and Engineering (CSE) Division, a research division within the Physical Sciences and Engineering Directorate.
Information Technology Group Leader Argonne National Laboratory is a multidisciplinary science and engineering research center where talented scientists and engineers work together to answer the biggest questions facing humanity, from how to obtain affordable clean energy
Your Job We are seeking a highly motivated engineer to develop and apply artificial intelligence and machine learning (AI/ML) techniques to accelerate structural and electrical simulations. This role bridges product development, finite element analysis (FEA), signal