11 naval-architecture Postdoctoral positions at Argonne

Postdoctoral Appointee - Data Management Techniques for AI/Machine Learning

each other (e.g. to facilitate network architecture search), capturing, caching and reusing intermediate transformations of training data (e.g., embeddings), memory optimizations (capturing and

Postdoctoral Appointee – CFD Modeling of Industrial Burners

involving experimentalists, CFD experts, and computational scientists to enable cutting-edge CFD modeling & simulations on the next generation supercomputing architectures. Position Requirements Ph.D. in

Postdoctoral Appointee – Machine Learning for Power Systems

learning architectures. Familiarity with federated learning, and game theoretic modeling. Experience or familiarity with hardware-in-the-loop is helpful but not required. Application Procedure: Interested

Postdoctoral Appointee - Quantum Materials

be part of a dynamic team working collaboratively with researchers in both the Q-NEXT Materials and Device Integration and Quantum Communication thrusts on optimal hybrid device architectures

Postdoctoral Appointee - MSD Midwest Integrated Center for Computational Materials (MICCoM)

-center.org/software.html ). Excellent candidates are sought with experience in the development of complex scientific software architectures to support the development and deployment of MICCoM codes on pre- and

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

experimentalists, CFD experts, and computational scientists to enable cutting-edge CFD modeling & simulations on the next generation supercomputing architectures. Position Requirements Ph.D. in mechanical/aerospace

Postdoctoral Appointee – Atomic Layer Deposition of 2D Materials

of energy-efficient microelectronics. The successful applicant will spearhead efforts in simulating, optimizing, and benchmarking devices and architectures based on 2-dimensional (2D) semiconductor materials

Postdoctoral Appointee -- Physics-Informed Machine Learning/Hydrology

networks, hybrid modeling, and regularization techniques. Experience with various neural network architectures (e.g., graph neural networks, autoencoders, generative adversarial networks, etc.) Understanding

Postdoctoral Appointee - Experimental Quantum Communication and Networking (InterQnet)

architectural choices that can be applied to heterogeneous national-scale quantum networks.  The focus of this position is the development of a networking node based on solid-state erbium (Er3+) ions coupled

Postdoctoral Appointee – Gas Turbine Modeling

scientists to run the simulations using the next generation supercomputing architectures. Present and publish results in peer reviewed society technical reports, journal articles, and meetings with key