|Location:||Newcastle upon Tyne|
|Funding for:||UK Students, EU Students|
|Funding amount:||See advert text|
|Placed On:||14th July 2020|
|Closes:||31st August 2020|
Full UK/EU fees (eligibility criteria applies to EU students) and annual living allowance of £15,285
Start date and duration: October 2020 for three years
Application closing date: 31 August 2020
Understanding the complex transport systems bringing together technology, people and process.
The aim of the PhD is to develop a systems-view of transport using data-rich environments and real-time positioning information of movements across modes and locations. Data analytics, machine learning and systems thinking are core components of this work to ensure the precise interface to higher levels of software/applications can be defined, be robust and secure.
Specific expected outputs will be an international data taxonomy and methodology with global transport application to compile relevant data from multiple heterogenous sources influencing mobility.
This PhD is supervised by Newcastle University in collaboration with Ove Arup and Partners
The majority of the work will be lab based at the University with collaborative workshops with Local Authorities, regional authorities, operators and system providers. Progress is intended to be disseminated through regular 'update findings' to Arup and community and will form the basis of training modules to Arup staff to extend learning in this subject
Engineering and Physical Sciences Research Council and ARUP
Name of supervisor(s)
The award is available to UK/EU applicants only. Depending on how you meet the EPSRC’s eligibility criteria, you may be entitled to a full or a partial award.
How to apply
You must apply through the University’s postgraduate application system.
You need to:
For queries related to this PhD please email firstname.lastname@example.org
Type / Role: