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We have 86 Aerospace Engineering (international students) PhD Projects, Programmes & Scholarships

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Aerospace Engineering (international students) PhD Projects, Programmes & Scholarships

We have 86 Aerospace Engineering (international students) PhD Projects, Programmes & Scholarships

Autonomous Data-Driven Modelling for Advanced Satellite Constellation Management

Who can apply?  Australian Citizens & Permanent Residents New Zealand Citizens Preference is given to international students currently studying in Australia, all nationalities are welcome to apply. Read more

Modelling gas-microdroplet interaction and dispersion for decontamination applications

Are you interested in pursuing a PhD in Computational Fluid Dynamics (CFD) at the University of Edinburgh? We are currently looking to recruit a talented, hardworking, and passionate PhD student to study the interactive and dispersive behaviour of different sterilant formulations during the decontamination of materials with complex geometries and the disinfection of indoor spaces. Read more

Low-noise Ducted Propulsion Systems for Next-Gen eVTOL Platforms

Supervisory Team.   Phillip Joseph, Sergi Palleja Cabre and Chaitanya Paruchuri. Project description. Overview. Electrically-powered vertical take-off and landing (eVTOL) aircraft are poised to revolutionize transportation, contributing significantly to the UK economy. Read more

Investigating the role of verified methods for enhancing trust in digital twins

The Strathclyde Centre for Doctoral Training (SCDT) in "Data-driven uncertainty-aware multiphysics simulations" (StrathDRUMS) is a new, multi-disciplinary centre of the University of Strathclyde, which will carry out cutting-edge research in data-driven modelling and uncertainty quantification for multiphysics engineering systems. Read more

Study Engineering in the USA with the George Washington University

Doctoral students comprise the backbone of research conducted at the School of Engineering & Applied Science. Through funding support from faculty, internal and external grants, doctoral students can expect to take 4-6 years to complete the program through coursework, research credits and writing their dissertation. Read more

Novel Generative Adversarial Networks for Rapid Engineering Design

Supervisory Team: Dr. David Toal. Project description. Conditional Generative Adversarial Networks (cGANs) have gained notoriety in the media for their ability to create so-called “deep fakes” but their power can also be harnessed to provide predictions of optimal engineering designs. Read more

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