PhD Research Studentships
Data-driven modelling for industrial decarbonisation
| Supervisor: | Xi JIANG |
| Apply by: | 29 January 2025 |
| Start in: | September (Semester 1) |
Description
The project will use advanced computing and modelling to enable low-carbon technologies to interact intelligently with cement/steel production environments, transforming the industrial production landscape. It encompasses the development of new databases for zero-carbon thermal energy utilisation (e.g. using hydrogen and ammonia as alternative fuel), by performing systematic high-fidelity simulations of energy utilisation. The databases will be used to develop easy-to-use machine learning models for predicting zero-carbon energy utilisation. The project might also consider carbon capture for removing emissions from the calcination reaction. Focussing on a ‘systems’ approach, the project outcomes from the data-driven holistic approach will maximise the chance of successfully achieving low-carbon, low-cost and high-efficiency cement/steel manufacturing.
Funding
Funded by: China Scholarship CouncilCandidate will need to secure a CSC scholarship.
Under the scheme, Queen Mary will provide scholarships to cover all tuition fees, whilst the CSC will provide living expenses and one return flight ticket to successful applicants.
Eligibility
- The minimum requirement for this studentship opportunity is a good honours degree (minimum 2(i) honours or equivalent) or MSc/MRes in a relevant discipline.
- If English is not your first language, you will require a valid English certificate equivalent to IELTS 6.5+ overall with a minimum score of minimum score of 6.0 in each of Writing, Listening, Reading and Speaking).
- Candidates are expected to start in September (Semester 1).
Contact
For informal enquiries about this opportunity, please contact Xi JIANG.
Apply
Start an application for this studentship and for entry onto the PhD Mechanical Engineering full-time programme (Semester 1 / September start):
Please be sure to quote the reference "SEMS-PHD-616" to associate your application with this studentship opportunity.
| SEMS Research Centre: | ||
| Keywords: | Chemical Engineering, Environmental Engineering, Fluid Mechanics, Gas Engineering, Manufacturing, Mechanical Engineering, Systems Engineering, Thermodynamics, Data Analysis, Mathematical Modelling |