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Students
Tuition Fee
USD 24,949
Per year
Start Date
Medium of studying
On campus
Duration
73 months
Program Facts
Program Details
Degree
PhD
Major
Materials Engineering | Metallurgical Engineering | Mechanical Engineering
Area of study
Engineering
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
USD 24,949
Intakes
Program start dateApplication deadline
2023-04-24-
2023-09-19-
2024-01-09-
About Program

Program Overview


Research profile

The Liquid Metal Engineering area is led by the Brunel Centre for Advanced Solidification (BCAST), a dynamic research centre focused on solidification and casting, which has steadily grown to become one of the largest and best-recognised groups in the field worldwide. Our vision is for ‘full metal circulation’: a world in which the demand for metallic materials is met using recycled and reused secondary metals, with only limited edition of primary metals each year. This vision is deeply rooted in the approach we take to our research, which ranges from atomic level basic research to industrial-scale trials of new technology. At the basic end, we conduct fundamental research into microstructural control through the nucleation stage of solidification and develop novel metallic materials by crafting new alloys that have significantly improved properties and can be recycled entirely.

Our work in technology development is more practical and involves the manufacture of high-performance metallic components and feedstock materials by innovative solidification processing. Then there is our work, in close concert with industrial partners throughout the supply chain, to up-scale and transfer new technologies and develop sustainable metallurgy – studies that are wholly focused on application.





Browse the work of subject-relevant research groups

  • Advanced Powertrain and Fuels
  • Digital Manufacturing
  • Bioprocess and Biopharmaceutical Engineering
  • Brunel Centre for Advanced Solidification Technology (BCAST)
  • Assessment of Structures and Materials under Extreme Conditions
  • Biomedical Engineering
  • Brunel Innovation Centre
  • Brunel Composites Centre
  • Heat Pipe and Thermal Management
  • Institute of Digital Futures
  • Energy Efficient and Sustainable Technologies
  • Institute of Materials and Manufacturing
  • Experimental Techniques Centre
  • Non-traditional Manufacturing Technologies
  • Sustainable Energy Use in Food Chains
  • Two Phase Flow and Heat Transfer
  • Organ-on-a-Chip
  • Robotics and Automation
  • Mechanics of Solids and Structures
  • Institute of Energy Futures
  • Equitable Development and Resilience
  • Quality Engineering and Smart Technology
  • You can explore our campus and facilities for yourself by taking our virtual tour.

    Program Outline

    Research journey

    This course can be studied 3 years full-time or 6 years part-time, starting in January. Or this course can be studied 3 years full-time or 6 years part-time, starting in October. Or this course can be studied 3 years full-time or 6 years part-time, starting in April.

    Find out about what progress might look like at each stage of study here: Research degree progress structure.



    Careers and your future

    You will receive tailored careers support during your PhD and for up to three years after you complete your research at Brunel. We encourage you to actively engage in career planning and managing your personal development right from the start of your research, even (or perhaps especially) if you don't yet have a career path in mind. Our careers provision includes online information and advice, one-to-one consultations and a range of events and workshops. The Professional Development Centre runs a varied programme of careers events throughout the academic year. These include industry insight sessions, recruitment fairs, employer pop-ups and skills workshops.

    In addition, where available, you may be able to undertake some paid work as we recognise that teaching and learning support duties represent an important professional and career development opportunity.

    Find out more.



    Find a supervisor

    Our researchers create knowledge and advance understanding, and equip versatile doctoral researchers with the confidence to apply what they have learnt for the benefit of society. Find out more about working with the Supervisory Team.

    You are welcome to approach your potential supervisor directly to discuss your research interests. Search for expert supervisors for your chosen field of research.


    PhD topics

    While we welcome applications from student with a clear direction for their research, we are providing you with some ideas for your chosen field of research:

  • A sustainability analysis of sea ports, supervised by Colin Axon
  • Additive manufacturing and sustainability, supervised by Eujin Pei
  • Automatic computational fluid-dynamics, supervised by James Tyacke
  • Can AI based robot car win the race, supervised by Dong Zhang
  • CFD modelling of plasma flow control, supervised by James Tyacke
  • Crystal Plasticity Modelling of Hexagonal Closed-Pack (HCP) Materials for Manufacturing, supervised by Rui Ramos Cardoso
  • Design, development, and optimisation of a six-legged robot for hybrid walking and manipulation in challenging environments, supervised by Mingfeng Wang
  • Developing a device for marine life and water quality monitoring, supervised by Gera Troisi
  • Fracture assessment of large-scale structural components, supervised by Marius Gintalas
  • Large Language Models (LLM) for Automated Finite Element Analysis, supervised by Michael Rustell and Tatiana Kalganova
  • Next generation aeroacoustically and aerodynamically efficient aerofoil, supervised by Tze Pei Chong
  • Next generation electric vehicles, supervised by Dong Zhang
  • Optimisation of geothermal energy extraction, supervised by James Tyacke
  • Reliability Analysis of Adhesively Bonded Fibre Reinforced Polymer Composites, supervised by Sadik Omairey and Mihalis Kazilas
  • Study of stray current induced corrosion in railway construction, supervised by Kangkang Tang
  • Swarm of multiple co-operative and autonomous low-cost robots for search and rescue, supervised by Md Nazmul Huda
  • The sustainability of hydrogen production for future energy uses, supervised by Colin Axon and Peter Hewitson
  • Toward automated vehicle control beyond the stability limits via active drifting control, supervised by Dong Zhang
  • Use of Large Language Models (LLM) as a Structural Engineering Design Assistant, supervised by Michael Rustell and Tatiana Kalganova
  • Using Machine Learning to Simulate Macroscopic phenomena for Fluid Dynamics, supervised by Nadine Aburumman
  • SHOW MORE
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