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We have 61 Mechanical Engineering (optimisation) PhD Projects, Programmes & Scholarships

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Mechanical Engineering (optimisation) PhD Projects, Programmes & Scholarships

We have 61 Mechanical Engineering (optimisation) PhD Projects, Programmes & Scholarships

Nonlinear Aerostructural Optimisation of Boundary Layer Ingesting Fan

Supervisory Team. Prof. Ali Elham, Dr. Jie Yuan. Project description. To meet the objectives of the Paris Climate Agreement, aviation (~3% of human global CO2 emissions) must do its share. Read more

Stochastic response characterisation and reliability driven optimisation of floating wind turbines

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more

Mechanical metamaterials for impact protection

Aim. Optimisation of mechanical metamaterials to reduce impact severity. Summary. Mechanical metamaterials are engineered to have properties that cannot be achieved with their unstructured, intrinsic constituents. Read more

Optimisation of additive manufacturing process using data-driven machine-learning approach (Fully Funded PhD)

Lead supervisor: Dr Chu Lun Alex Leung. Eligibility: Open to UK students and international students. Fully Funded. 3 years of Home tuition fees (currently £5,860/year) and a tax-free maintenance stipend of £24,000 per year. Read more

Natural Laminar Flow Wing Design and Optimisation

This study will investigate the design and optimisation of NLF wings for transonic flow. The stability of the boundary layer around the wing including cross flow instability and attachment line instability will be studied. Read more

Large Language models for Maintenance Optimisation

  Research Group: Intelligent Systems and Robotics
The University of York is embarking on transformative research in data-centric engineering, digital twins, and AI, revolutionizing the way systems are designed and operated. Read more

Quantum Machine Learning for Sustainable Energy Optimisation

We are seeking a highly motivated candidate to commence a PhD journey in the dynamic and rapidly growing field of quantum machine learning (QML), focusing on its application in energy system. Read more

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