3D nanoprinted cell scaffolds for oxygen and pH sensing
Dr N Radacsi, Dr S Smith, Prof I Underwood
15 February 2019
Fully funded PhD studentship available on 3D optically responsive nanostructured cell scaffolds. This is a 4-year PhD (unlike the standard 3.5 year UK PhD), as it is within the EPSRC Centre for Doctoral Training in Intelligent Sensing and Measurement.
Advanced methods for shale characterisation
Dr E Mangano, Prof S Brandani
Applications accepted all year round
Shale gas has been recently recognised as a strategic energy source with the potential to revolutionise the worldwide energy layout and bridge the transition to a low-carbon future.
Antimicrobial coatings for biomedical applications
Dr M Chen
1 March 2019
Antimicrobial coating industry is rapidly growing. This is to prevent the serious problems caused by bacterial adhesion and subsequent biofilm formation on the surfaces of many devices.
Big Data Analysis from Bridges: Developing Structural Health Monitoring Instrumentation
Prof M Forde, Dr H Chai
31 May 2019
Most bridges worldwide lack Structural Health Monitoring instrumentation. Part of the reason is that older bridges pre-date the development of appropriate instrumentation; and part of the reason is that bridge owners do not have the staff/resource to analyse the “big data” emanating from an instrumentation system.
Big data of multiphase flow measurement for optimising oil and gas production
Dr Y Yang
31 May 2019
Oil and gas occupies a significant sector in the world’s energy structure. The trend to construct digital oil fields based on internet of things has raised increasing demand for accurately monitor the health and production of the entire oil field down to individual wells in a real-time manner.
Bio-inspired high-efficient arrays of tidal energy converters
Dr IM Viola
24 May 2019
The UK tidal sector has recently achieved remarkable progress, including deploying the first two arrays of tidal turbines (Nova Innovation and MeyGen) and deploying the world’s largest twin-rotor floating tidal turbine (Scotrenewable).
Contact models for DEM simulations of non-spherical particles
Dr K Hanley, Dr J Blackford
1 March 2019
The discrete element method (DEM) is a simulation tool originally developed in the 1970s. DEM allows complex systems of particles to be modelled, enabling analysis of the particle-scale mechanisms that underlie the complexity of the overall material response.