14 Education-"Mathematics" Postdoctoral positions at Argonne in United States

Postdoctoral Appointee - ATLAS

experience Hardware experience, especially with silicon detectors, is desirable Good general knowledge of current high-energy physics and mathematical methods for physics applications is required Good

Postdoctoral Appointee – CFD Modeling of Industrial Burners

multi-physics simulation codes. Develop accurate and computationally efficient CFD models and perform simulations of the entire chain of physics and chemistry involved with fuel-air mixing, turbulent

Postdoctoral Appointee for Large Language Models (LLM) and complex systems

for completing complex tasks, such as designing, parameterizing, and assessing simulations. The candidate will be expected to research and develop novel approaches for LLM-based agentic code generation and

Postdoctoral Appointee - Nuclear Material Characterization and Analysis

develop correlations to describe the characteristics of materials and models to describe their behavior in typical reactor environments. You will participate in planning, developing, and implementing

Postdoctoral Appointee – CFD and ROM applications to Multiphase Flow Modeling

(HPC). In addition, the prospective postdoctoral appointee will develop reduced-complexity models for accurate prediction of fluid dynamical systems for the purposes of increasing computational

Postdoctoral Appointee - Electro-catalysis for CO2 conversion

to catalyst/electrolyzer system design, optimization, integrated process modeling, techno-economic analysis, and environmental impact assessments. Additionally, the candidate will prepare reports, presentations

Postdoctoral Appointee - Mathematical Modeling of Solid-State Batteries

The Chemical Sciences and Engineering Division is seeking a Postdoctoral Appointee, who under the guidance of a supervisor, conducts research on mathematical modeling of solid-state batteries

Postdoctoral Appointee – Machine Learning for Power Systems

in modeling, analysis and control of electric power distribution and transmission system, applying state of the art machine learning (ML) and deep learning algorithms to develop cybersecurity

Postdoctoral Appointee - Critical Material Market Modeling

economic and decarbonization goals. This role will build on existing work at Argonne and collaborate with a multi-disciplinary team and will involve the following: Conduct research and analysis and develop

Postdoctoral Appointee – Low-Carbon Fuel Sprays and Engine Combustion Modeling

computing (HPC). Develop accurate and computationally efficient CFD models to simulate the chain of physics and chemistry involved with fuel injection, fuel-air mixing, turbulent combustion, and emissions