Computational Fluid Dynamics Engineer (KTP Associate)

Main Duties and Responsibilities

Your responsibilities will include:

• Develop, apply and refine the University of Leeds’ multiphase CFD atomisation model to analyse and optimise highpressure gas atomisation behaviour.
• Translate CFD simulation outputs into manufacturable engineering designs, considering tolerances, surface roughness, and effects on supersonic flow.
• Analyse historical production and process data, using data driven and machine learning methods to identify variability and improvement opportunities.
• Validate model predictions through experiments, characterising powder size distributions and linking physical results to simulation outcomes.
• Recommend and evaluate atomiser design changes and operating parameter adjustments to improve yield, reduce mis runs, and enhance product quality.
• Develop standard operating procedures (SOPs), documentation, and modelling guidelines to embed new capabilities within LSN Diffusion.
• Train LSN technical staff in model use and support the company in achieving independent operation of the tool.
• Act as the key interface between academic and industrial teams, clearly communicating technical findings and progress.
• Support implementation of revised processes and work practices on the production shop floor, ensuring effective knowledge transfer.
• Manage day to day technical project work, including simulations, data analysis, monthly reporting, and coordination with supervisors.

To deploy at LSN Diffusion a novel process model for gas atomisation developed at the University of Leeds and to use this to modify atomiser design, making the production of metal powders more energy and resource efficient. To use data mining and machine learning to further enhance process efficiency.