Back to search results

EPSRC I-CASE Studentship with ESI Group: Resin Injection for Composites Manufacturing Under Uncertainties

University of Nottingham - Engineering

Qualification Type: PhD
Location: Nottingham
Funding for: UK Students, EU Students
Funding amount: £15,285
Hours: Full Time
Placed On: 26th March 2020
Closes: 31st May 2020
Reference: ENG1379

Location: UK Other

Applications are invited for a PhD studentship supported by the EPSRC I-CASE and ESI Group ( to conduct research in manufacturing of fibre-reinforced polymer composites using resin transfer moulding (RTM). The work will be closely aligned with the ESI Group’s programme to develop a new paradigm for modelling of manufacturing processes under uncertainty by combining physics-based and data-driven models.

A student working on this project will develop and test novel Bayesian Inversion algorithms (BIA) which will estimate local material properties using in-process information. These estimations will be used for a novel non-destructive evaluation method. The student will also create a robust active control systems (ACS) for RTM processes using advanced BIAs. To implement the algorithms, the student will use state-of-the-art commercial software, PAM-COMPOSITES, developed by the industrial partner, ESI. For successful industrial exploitation of BIA and ACS, the use of Model Order Reduction (MOR) techniques is critical for speeding-up the complex calculations. Implementing MOR methods, such as Proper Generalized Decomposition and Machine Learning, will be key to the project.

The project will be also aligned with one of the EPSRC Future Composites Manufacturing Research Hub ( Core projects “Resin injection into reinforcement with uncertain heterogeneous properties” and include the opportunity to perform experimental validations of the developed modelling approaches and to work closely with the industrial and academic partners.

Candidate requirements:

  • First-class or upper second-class Honours degree (or equivalent) in a relevant discipline, such as engineering, material science, applied mathematics or physics.
  • Knowledge of computer programming languages (e.g. Matlab, Python, C++)
  • Experience in finite element modelling and/or composites manufacturing modelling (e.g. Ansys, Virtual Performance Solution (VPS), Ansys Fluent, CFX, OpenFOAM, PAM-COMPOSITES) would be advantageous
  • Knowledge of fluid dynamics and/or uncertainty quantification would be also advantageous
  • Self-motivated and capable of working under pressure to meet deliverables
  • Good communication skills for regular interaction with other stakeholders.

The successful candidate will join the University of Nottingham’s Composites Research Group which leads the EPSRC Future Composites Manufacturing Research Hub, a £ 10.3m investment in fundamental research that aims to deliver a step change in the production of polymer matrix composites. More information on the Hub can be found at

Successful applicants will be based at Nottingham and will:

  • Work directly with leading academics from Engineering and Applied Mathematics and industrial partners from the composites supply chain, including leading UK aerospace and automotive companies, offering excellent career opportunities following graduation.
  • Have 3 months placement with the industrial partner (ESI Group).
  • Have access to industry-relevant taught modules delivered by the Industrial Doctorate Centre (IDC) in Composites Manufacture at the University of Bristol.
  • Receive a travel and consumable allowance to support the research project.
  • Have access to world-leading facilities and a well-founded composites laboratory.

For further information please contact: or


Successful applicants will receive a tax free scholarship at the RCUK rate (£15,285 per annum for 2020/21) and tuition fees for four years, subject to satisfactory research progress. This funding is for UK and EU applicants only (see the eligibility rules at Candidates should be available to start on 1st October or 1st December 2020.

How to apply:

To apply for a research studentship, please upload a CV and covering letter to quoting the ENG1379 reference number

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):


PhD tools
More PhDs from University of Nottingham

Show all PhDs for this organisation …

More PhDs like this
Join in and follow us

Browser Upgrade Recommended has been optimised for the latest browsers.

For the best user experience, we recommend viewing on one of the following:

Google Chrome Firefox Microsoft Edge