Marie-Skłodowska Curie ITN Early Stage Researcher

The University of Manchester - School of Materials

Are you a mechanical engineer with programming skills keen to make a difference to clean energy technologies? Do advanced characterization and imaging techniques interest you? This PhD opportunity is part of the Marie Skłodowska-Curie Innovative Training Network, “Multiscale, Multimodal, Multidimensional imaging for EngineeRING” or in short MUMMERING.  The network is concerned with interdisciplinary R&D and training in 3D imaging and its application in materials- and information science. The network offers totally 15 PhD positions. Information about all 15 PhD positions is coming soon. 

This position is based at the University of Manchester and you will work with LM wind Power who produce wind turbine blades and Saertex the material supplier for the wind turbine blade industry. Both are world leading companies in this sector along with FEI, a global leader in the development of 3D software packages. You will also spend time at the DTU, a department at the Technical University of Denmark and at other international research facilities.

Scientifically, the MUMMERING network addresses the challenges 3D imaging has to overcome for being a workable tool in materials science and engineering. This means filling the gap between the capacities by which experimental data can be captured and by which the data can be processed. Today the data processing lags behind.

Your PhD project will focus on developing segmentation tools for identification of the fibre, bundle and ply architecture in state-of-the-art glass and carbon fibre composites used in wind turbine blades. You will also investigate the fatigue damage in non-crimp fabric reinforced polymer composites used as the load carrying part in wind turbine blade. X-ray CT is a well suited non-destructive technique to identify sub-surface damage in composites but as the resolution generally scales with the field of view, only quite well developed damage can be identified at the component scale (10-100’s mm). To effectively characterise the earlier stages of damage at the fibre-matrix scale and thus understand the detail of the failure mechanism we need to employ high resolution imaging in site specific regions. This is a multiscale approach which presents challenges for data processing and 3D visualisation. In the study, state-of-the-art glass and carbon fibre composites used in wind turbine blades will be investigated where the influence of static and fatigue loading on the failure mechanism bridging the different scales will be studied. The length scale range being studied will be from the fibre-matrix length scale at the micrometre scale to the wind turbine blade scale on the metre scale.


We will evaluate the applications on a running basis.  We therefore advise you to submit your application as soon as possible..

Funding Notes

The project is funded for 3 years for eligible UK/EU students. Funding is as per standard rates for an Early-Stage Marie Curie Researcher €52,096 per annum.

The candidate can be of any nationality but is required to undertake physical transnational mobility meaning that you must not have resided or carried out your main activity (work, studies, etc.) in the UK for more than 12 months in the 3 years immediately before the recruitment date. Candidates shall moreover comply with H2020 definition of an Early-Stage Researcher, i.e. be in the first four years of the research career, and have not yet been awarded a doctoral degree.

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