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UCL - PhD in Mechanical Engineering - Optimizing Aircraft Safety and Efficiency
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Department of Mechanical Engineering University College London UCL Research Excellence Scholarship We seek outstanding individual of any nationality to undertake PhD research at University College London through application to a UCL Research Excellence Scholarship to work on the following research project: Project: Optimizing Aircraft Safety and Efficiency with Stochastic Modelling, Generative Design, and Machine Learning This interdisciplinary PhD project aims to enhance aircraft safety, reduce weight, and minimize environmental impact by integrating stochastic modelling, generative design, and machine learning. The project focuses on transitioning from deterministic to stochastic modelling in aircraft structural design, accounting for inherent uncertainties in materials, manufacturing, and operational conditions. Unlike deterministic approaches, which assume precise values for all parameters, stochastic modelling incorporates and quantifies variability in real-world engineering systems, providing a more realistic representation of aircraft behaviour under diverse conditions. This approach will enable more accurate safety assessments, optimized weight distribution, and improved environmental performance. A core objective is to advance safety assessment techniques using probabilistic models and machine learning to predict and prevent structural failures caused by fatigue. The project will employ deep learning to develop component designs that optimize weight, safety, and efficiency within stochastic constraints. Optimization algorithms will refine these generative designs based on criteria such as fuel efficiency, structural integrity, and environmental impact. Additionally, the project will create a real-time digital twin system for continuous monitoring and predictive maintenance, enhancing operational reliability. The expected outcomes include a robust framework for stochastic modelling in aircraft design and maintenance, advanced reliability and safety assessment methods, generative design methodologies for lightweight and efficient aircraft structures, and a functional digital twin for real-time monitoring. This research has the potential to significantly impact aircraft safety and efficiency, leveraging innovative technologies at the forefront of the aerospace industry. Throughout the project, guidance and co-supervision will be provided by a seasoned professional from the UK aerospace sector, bridging academic research with industry expertise. Person specification: A background in solid mechanics, or an equivalent discipline with a high technical content, of any nationality. Aptitude for computational modelling is essential. Applicants must be from a top-ranked university (based on ARWU, THE or QS ranking) and are expected to graduate at the top of their cohort. A research track record, demonstrated by publications in international journals, will greatly enhance the chances of success. Application Procedure: Applicants should write to Dr Llewellyn Morse (l.morse@ucl.ac.uk) and Prof PJ Tan (pj.tan@ucl.ac.uk) with a recent CV, area of interests and a full transcript of exam results. Individuals who have yet to graduate must list all the modules (and corresponding grades) for which the results are known. Qualified candidates will go through an interview with the supervisors, followed by a preliminary round of departmental pre-selection; and, if successful, will be entered for university-level competition for the scholarships. Closing Date and Start Date: All enquiries must be received by 3rd January 2025 (closing date). If successful, the start date of the PhD will be in Sept/Oct 2025. Value of award: Full tuition fees and stipends (living expenses) for the duration of the doctoral research. |
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