|Funding for:||UK Students, EU Students|
|Funding amount:||Tax free stipend of £15,009 pa for 2019/20 subject to confirmation|
|Placed On:||7th October 2019|
|Closes:||31st December 2019|
Summary: This project will investigate methods and systems to rapidly generate and alter physical models to synchronise with digital versions.
The project is anticipated to include, but is not limited to:
Context: The divide between the digital and physical domains in in design are shrinking, where integrating the power of the digital world with the tangibility of the physical has created advanced and highly capable products. Many radical, cutting-edge technologies have emerged; including the ongoing VR and AR revolution, A.I. and data-driven physical systems (i.e. self-driving cars), and virtual assistants and analytics encroaching further into the physical world.
Seamless digital / physical integration often fails to transition into the processes that create such revolutionary products, particularly during prototyping, leaving design itself without the proven benefits that cutting-edge products have enjoyed. Prototyping is often a manual, skilled process, with frequent iterations between back and forward between digital and physical models of different fidelities, each tested and updated as the product develops. This process costs time and money and negates many of the emergent benefits that digital/physical integration can create.
URL for further information www.dmf-lab.co.uk
How to apply:
To apply, please submit a PhD application using our online application system (www.bristol.ac.uk/pg-howtoapply). Select PhD Mechanical Engineering on the Programme Choice page. Enter details of the studentship in the Funding and Research Details sections of the form with the name of the supervisor.
We are looking for an enthusiastic student with a Master’s degree. This project would suit a graduate in Engineering or Science with an interest in design, manufacturing and associated technologies, and some experience in Additive Manufacture. In addition to practical implementation of the proposed method(s) some computational/modelling work will be required using tools such as Autodesk Fusion, Blender, Grass Hopper and Matlab.
If English is not your first language, please provide a recognised English language qualification at Profile E. Further information: www.bristol.ac.uk/study/language-requirements/profile-e
For general enquiries, please email email@example.com
Type / Role: