PhD Researcher

**Job Description**
This PhD research project, part of the EmPowerED initiative, aims to accelerate and scale up Positive Energy Districts (PEDs) by focusing on carbon-neutral heating and cooling as a core element. The project involves developing simulation models for individual physical components of PEDs, specifically focusing on residential heating systems and associated thermal components. The core objective is to create component models with high physical accuracy and predictive capability by employing state-of-the-art reduced-order models (ROMs), input-output models derived from high-fidelity Computational Fluid Dynamics (CFD), and data-based models utilizing system/parameter identification and machine learning. A key challenge is balancing model accuracy with computational efficiency for seamless incorporation into integrated PED models, involving collaboration with project partners for data generation, implementation, and end-user feedback.

**Skills & Abilities**
• Simulation model development
• Reduced-order modeling (ROMs)
• Computational Fluid Dynamics (CFD) output utilization
• Data-based modeling
• System/parameter identification
• Machine learning
• Balancing model accuracy and computational efficiency
• Collaboration with interdisciplinary teams and external partners
• Pro-active interaction and communication

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