Exploring Mixed-State Wetting of Laser Surface Engineered Polymeric Materials
Eligibility: UK/EU/International students with the required entry requirements
Award Details: No award (self-funding)
Duration: Full Time - between 3 years and 3 years 6 months fixed term
Application deadline: Ongoing
Interview dates: TBC
Start date: TBC
Informal enquiries are essential before application; contact Dr. David Waugh to discuss this opportunity.
Coventry University has been voted ‘Modern University of the Year’ three times running by The Times/Sunday Times Good University Guide. Ranked in the UK’s top 15 (Guardian University Guide), we have a global reputation for high quality teaching and research with impact. Almost two-thirds (61%) of our research was judged ‘world leading’ or ‘internationally excellent’ in the Research Excellence Framework (REF) 2014. By joining the University’s Faculty of Engineering, Environment and Computing (EEC), you will benefit from state-of-the-art facilities and partnerships with some of the biggest names in industry, including Jaguar Land Rover, GE Aviation, Cummins and Intel.
The deep understanding of how a material wets is the fundamental science behind adhesion characteristics of materials with applications in all industries from automotive, to aerospace through to the biomedical and health industries. This is owed to the fact that many industries are now looking towards surface engineering to enhance their products. To this end, it is imperative that the underlying theories for the wettability characteristics of surface modified polymers are reliable to ensure adhesion can be accurately predicted, reducing waste and increasing efficiency. Currently, there are two accepted theories in science relating to how a material wets – the Cassie-Baxter and Wenzel theories. However, through previous research it has been identified that for many laser surface engineered polymeric materials, they do not conform to current wetting theory. On account of this, adhesion characteristics cannot be predicted with any great accuracy. This research will make inroads to achieve a better understanding of the wetting nature of those laser surface engineered materials exhibiting a mixed-state wetting regime and will add to the current work being conducted in the field of wetting regimes and wetting transitions.
- For the academic year 2018/19, any English student who is not part of a research council can borrow up to £25,000 to help cover the cost of their PhD tuition fees. Further details can be found here.
- Our research strategy is underpinned by a £250m investment in research and facilities
- Dedicated Doctoral College and Centre for Research Capability Development deliver high quality professional support for researchers, from PhD to Professor
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Successful applicants will have:
- A minimum of a 2:1 first degree in a relevant discipline/subject area with a minimum 60% mark in the Project element or equivalent with a minimum 60% overall module average.
- In the event of a first degree classification of less than 2:1, a Masters Degree in a relevant subject area will be considered as an equivalent. The Masters must have been attained with overall marks at minimum merit level (60%). In addition, the dissertation or equivalent element in the Masters must also have been attained with a mark at minimum merit level (60%).
- a taught Masters degree in a relevant discipline, involving a dissertation of standard length written in English in the relevant subject area with a minimum of a merit profile: 60% overall module average and a minimum of a 60% dissertation mark, plus
- the potential to engage in innovative research and to complete the PhD within a three-year period of study
- a minimum of English language proficiency (IELTS overall minimum score of 7.0 with a minimum of 6.5 in each component)
- knowledge and/or experience in the subject
- a good knowledge of modelling techniques,
- experimental, modelling and analytical experience
- experience of (or a willingness to quickly learn) about wettability characteristics, laser material processing.