6 artificial-Intelligence-phd Postdoctoral research jobs at Argonne

Postdoctoral Appointee - MSD - Modeling of Neutral & Charged Polymeric Materials

molecular dynamics, continuum non-equilibrium methods, and artificial intelligence assisted tools to simulate the aforementioned systems. Enhanced sampling methods and collective variable discovery

Postdoctoral Appointee – Machine Learning for X-ray Science

position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate

Postdoctoral Appointee – Enhanced statistical methods in computational thermodynamics

expertise themselves. Beyond the listed projects, the candidate will be able to contribute to other large-team scientific projects in artificial intelligence, materials engineering, chemistry, and beyond

Postdoctoral Appointee -- Physics-Informed Machine Learning/Hydrology

of Hydrology, Environmental Science Division. The Postdoctoral Appointee will work toward advancing state-of-the art physics-informed artificial intelligence and machine learning (AI/ML) models to improve

Postdoctoral Appointee - Intelligent Learning for Light Source and Neutron Source User Measurements Including Navigation and Experiment Steering

position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate

Postdoctoral Appointee - NST - Machine Learning for Electronic Structure and Materials Modeling

of materials, especially in the areas of electronic excitations Use of artificial intelligence/machine learning (AI/ML) approaches for computational materials problems Simulation of experimental measurements