Localised energy generation and storage for EV fleet vehicle charging
Logistics and Supply Chain Management Centre (LSCM)
Dr E Ballantyne, Prof D Stone
17 June 2019
Continued population growth has lead to increased transport demands, to, from, and within urban areas. This has significantly impacted upon urban air quality, resulting in increased pressure to improve air quality and address sources of pollution from transport.
Novel magnetic architectures for next generation electric vehicles
Prof D Allwood
29 April 2019
The project will develop high performance permanent magnet materials based on Nd-Fe-B materials for automotive applications. This research will be guided by computer modelling being performed by another PhD student project.
PhD studentship on flow laminarisation and drag reduction
Prof S He
5 April 2019
Aerodynamic optimisation is of paramount importance in improving the design of aircrafts, automobiles as well as turbomachinery to reduce energy consumption and improve energy production efficiency.
Environmentally friendly Pb-free ceramics for energy storage
Dr A Feteira, Dr T Ostler
12 April 2019
Develop an energy storage prototype with a recoverable energy density greater than 15 J/cm3 based in BNT/BKT/BT ceramics. BNT-based ceramics exhibit a ferroelectric-to-relaxor (FE-RE) phase transition at ~100C.
Engaging the hardest to reach in energy advice
Dr A Ambrose, Dr W Eadson
12 April 2019
Initiatives and services intended to support individuals and households with energy related problems (i.e. high bills, cold homes etc.) consistently fail to reach the most marginalised, vulnerable and low income households who stand to gain the most from such initiatives.
Oxide ion conductors for intermediate temperature fuel cells
Prof I M Reaney, Prof D Sinclair
1 May 2019
We are seeking candidates with an undergraduate degree in materials science and engineering or a related discipline with a strong interest in sustainable functional materials and devices to work on the development of intermediate temperature oxide fuel cells in collaboration with Johnson Matthey PLC.
Adaptive Learning in brain-robot interactions
Dr M Arvaneh
Applications accepted all year round
This project aims to develop a non-invasive brain-machine interface (BMI) that allows a user to direct a semi-autonomous robot to perform different tasks through brain signals.