Job Description
Post Doctoral Fellow
Lead the development, validation, and optimization of CFD models for simulating two-phase flow boiling and condensation phenomena in nuclear systems.
Apply machine learning and artificial intelligence techniques to improve the accuracy and efficiency of CFD simulations and enhance model predictions.
Analyze simulation data to extract insights into flow dynamics, heat transfer, and phase change behavior.
Incorporate advanced machine learning algorithms and AI-driven methodologies to enhance CFD model capabilities, particularly for two-phase flow simulations.
Collaborate closely with internal and external researchers to share findings, contribute to publications and presentations, and prepare detailed reports based on simulations results.
Adhere to the University's information security and confidentiality policies and procedures, and report breaches or other security risks accordingly
Perform any other tasks assigned by the Line Manager
