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We have 48 Mechanical Engineering (online learning) PhD Projects, Programmes & Scholarships

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Mechanical Engineering (online learning) PhD Projects, Programmes & Scholarships

We have 48 Mechanical Engineering (online learning) PhD Projects, Programmes & Scholarships

Leveraging Statistical and Machine Learning Approaches for Engineering Design under Uncertainties

Are you passionate about pushing the boundaries of engineering design and addressing real-world challenges? Embark on this exciting journey to develop novel statistical and machine learning methods to enhance engineering design in the presence of uncertainties, and contribute to shaping the future of computational engineering design. Read more

Phased array fibre lasers with machine learning

Supervisory Team: Prof Johan Nilsson, Dr William Kerridge-Johns. Project description. This project combines state of the art optical fibre laser amplifiers with machine learning control to produce next-generation lasers. Read more

PhD position in Materials Informatics

The Multiscale Modeling of Materials and Machine Learning Laboratory (M4L Lab. https://www.m4l-lab.com/) at Villanova University is looking for one Ph.D. Read more

Machine Learning approaches to improve the efficiency of fluid dynamics simulations

OpenFOAM and CFD simulations are often computational expensive both in terms of resources and time. CFD codes often use explicit methods that require small time steps of the order of micro-nano seconds. Read more

Robotic handling and inspection of complex materials using tactile and visual feedback.

The Postgraduate Research Programme MedAgriTech AI eXcellence (MATX) offers 12 PhD research scholarships to commence in 2024. Each project will include an enterprise placement of minimum 12 weeks duration. Read more

Visual Swarming for GPS Denied UAV Operations

Who can apply? Australian Citizens & Permanent Residents New Zealand Citizens Onshore international students from Five Eyes Alliance Nations (United States, the United Kingdom, Canada). Read more

Visual Guidance for Ship Launch and Recovery of Unmanned Aerial Vehicles

Who can apply? Australian Citizens & Permanent Residents New Zealand Citizens Onshore international students from Five Eyes Alliance Nations (United States, the United Kingdom, Canada). Read more

Data centric modelling of adhesive wear

Supervisory Team:  Robert Wood, Jo Grundy and Dave Stewart (RRSL).  Project description. The occurrence of adhesive wear between sliding surfaces can cause high friction, vibration, material transfer between surfaces and even seizure of components. Read more

Computational Framework for Sustainable Materials, Manufacturing, Energy, and AI Driven Simulations

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

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