Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Field
-
472.2A for additional information. Experience with commercial power system power flow software such as Powerworld, PSS/E, or similar Demonstrates broad understanding and wide application of engineering
-
Postdoc in physics-based numerical modeling, software development, and engineering analysis of engineered energy and fluid systems, ranging from geothermal power plants to fluid (e.g., water, brine, CO2, H2
-
Dalhousie University | Halifax Mid-Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
transportation risk analysis. Experience with passenger flow analysis, crowd dynamics, pedestrian simulation, or agent-based simulation. Experience with safety-critical systems engineering. Familiarity with
-
commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure
-
). The project focuses on the assessment of robust, accurate, and automated CFD methodologies for aerodynamic analysis of cycling performance, including workflow automation, mesh generation, simulation
-
performing simulations that include mechanical behaviours (incl. fatigue) and flow (i.e. CFD). Experience handling 3D volumetric reconstructions and software for analysis Experience with COMSOL
-
will join the IDS group in the Power System Engineering Center (PSEC) at NLR, a highly interdisciplinary and collaborative team of engineers, analysts, and software developers. IDS works to develop and
-
, materials science, and digital fabrication. You have a solid background in computational fluid dynamics, numerical modelling, or multiphase/coupled flow simulation, ideally applied to polymer processing
-
. Proficiency in scientific programming, data analysis, simulation, and modeling tools (e.g., Python, MATLAB, TCAD, photonic simulation software). Strong analytical, problem-solving, communication, and teamwork
-
workflows for grid modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The