Argonne National Laboratory jobs

Postdoctoral Appointee – Scientific Machine Learning

Argonne’s Leadership Computing Facility (ALCF) and Mathematics and Computer Science Division (MCS) is looking for a Postdoctoral appointee working at the intersection of scientific machine learning SciML and large-scale simulation codes.

The Postdoctoral appointee will engage with projects that directly integrate machine learning (ML) components into partial differential equations (PDE)-based simulations, allowing ML algorithms to function as part of the simulation framework. ...

Postdoctoral Appointee – Multi-phase Gas Turbine Modeling

The Multiphysics Computation Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee for performing multi-physics and multi-scale CFD simulations of aviation gas turbine engines. The candidate will be a part of the Transportation and Power Systems Division within the Advanced Energy Technologies Directorate at Argonne. The successful candidate’s research will involve synergistic collaborations with a multidisciplinary team involving experimentalists, CFD an...

Postdoctoral Appointee – CFD Modeling of Industrial Burners

The Multi-Physics Computations group at Argonne National Laboratory is seeking to hire a postdoctoral appointee on the topic of industrial burner CFD modeling. The successful candidate will leverage high-performance computing (HPC) resources at the Laboratory to perform CFD simulations of complex industrial burner systems involving modeling of low-carbon fuel injection and mixing, turbulent combustion, heat transfer, combustion, and emissions.

The successful candidate’s resear...

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

The Midwest Integrated Center for Computational Materials ( http://miccom-center.org/ ) at Argonne National Laboratory and the University of Chicago has an immediate postdoctoral opening in the use of machine learning in electronic structure calculations and advanced sampling. The postdoctoral researcher will work within the groups of Professor Giulia Galli ( https://galligroup.uchicago.edu/ ) and Dr Maria Chan ( https://www.anl.gov/profile/maria-k-chan ) on developing and applying a...

Emerging and Disruptive Technology Intelligence Analyst

Argonne National Laboratory is a Department of Energy national laboratory with over 1,500 scientists and engineers performing world-class research aimed at solving the nation's energy, environmental and security challenges. Argonne is located 25 miles southwest of Chicago on a beautiful 1,500-acre campus.

The Decision and Infrastructure Sciences (DIS) division researches, designs, and delivers scientific tools and methodologies to inform decision-making regarding the...

Postdoctoral Appointee — Physics-Informed Machine Learning/Hydrology

Argonne National Laboratory, a U.S. Department of Energy National Laboratory, has an opening for a Postdoctoral Appointee specialized in physics-informed machine learning at the Department 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 hydrologic systems modeling and near real-time forecasting ...

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

The Multiphysics Computation Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee. The successful candidate’s research will involve synergistic collaborations with a multidisciplinary team comprised of fellow postdoctoral appointees and staff scientists with computational fluid dynamics (CFD) and artificial intelligence/machine learning (AI/ML) expertise, with the goal to enhance predictive capability and scalability of multi-scale and multi-physics simu...

Postdoctoral Appointee – Engine Modeling for Hydrogen Heat and Power Systems

The Multi-Physics Engine Computation Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee. The successful candidate will engage in collaborative research within a multidisciplinary team comprising engine modelers, CFD and AI/ML experts, and computational scientists. The primary focus will be on enhancing the predictive capability and scalability of multi-scale and multi-physics simulation codes.

The candidate will conduct multi-physics and multi-s...

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