The KTP Associate will lead a strategic project focused on embedding advanced computational modelling capabilities within Stone Marine Propulsion (SMP). The role involves applying cutting-edge techniques such as Artificial Neural Networks (ANNs) and Computational Fluid Dynamics (CFD) to optimise marine propeller design. The Associate will act as a bridge between the
University of Strathclyde and SMP, ensuring the successful transfer of knowledge and the integration of new design methodologies into SMP’s operations. This role offers an opportunity to significantly impact SMP’s product development process and contribute to the company’s long-term growth.
Main Activities/Responsibilities:
1. Develop and implement advanced computational models (ANN and CFD) for marine propeller design and optimisation.
2. Collaborate closely with SMP’s engineering and design teams to integrate new modelling capabilities into existing workflows.
3. Conduct a thorough analysis of current propeller designs and propose enhancements based on simulation results.
4. Organise and deliver training sessions for SMP staff to ensure effective knowledge transfer and capability development.
5. Regularly liaise with academic mentors at the University of Strathclyde to align project objectives and access specialised resources.
6. Manage project timelines, milestones, and deliverables, ensuring all tasks are completed within the project scope and time frame.
7. Prepare and present progress reports and findings to both SMP and university stakeholders, incorporating feedback to refine project strategies.
8. Develop comprehensive documentation and training materials to support the implementation of the new modelling techniques at SMP.
9. Identify and pursue opportunities for further research and potential funding, ensuring the sustainability of the project’s outcomes.
10. Ensure compliance with all KTP program requirements and contribute to the overall success of the partnership
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