Program Overview
Research profile
In micro-nano manufacturing, researchers use a range of bench-top devices for the manufacturing of micro and nano-structures as well as technologies for developing agile, personalised and bespoke manufacturing. We aim to focus on the technology, systems and management of modern industrial manufacture including manufacturing methods, design, applied control, and precision manufacturing.
Find out about the exciting research we do: browse profiles of our experts, discover the research groups and their inspirational research activities you too could be part of. We’ve also made available extensive reading materials published by our academics and PhD students.
Learn more about research in this area.
Browse the work of subject-relevant research groups
Brunel Centre for Advanced Solidification Technology (BCAST)
Bioprocess and Biopharmaceutical Engineering
Advanced Powertrain and Fuels
Non-traditional Manufacturing Technologies
Two Phase Flow and Heat Transfer
Biomedical Engineering
Brunel Innovation Centre
Robotics and Automation
Quality Engineering and Smart Technology
Institute of Digital Futures
Sustainable Energy Use in Food Chains
Digital Manufacturing
Experimental Techniques Centre
Wolfson Centre for Sustainable Materials Development and Processing
Institute of Energy Futures
Mechanics of Solids and Structures
Organ-on-a-Chip
Energy Efficient and Sustainable Technologies
Brunel Composites Centre
Equitable Development and Resilience
Heat Pipe and Thermal Management
Institute of Materials and Manufacturing
Assessment of Structures and Materials under Extreme Conditions
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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
A Systems Approach to Promoting Sustainable Bioeconomy through International Development of Novel Biorefinery System Concepts, supervised by
Kok Siew Ng
Additive manufacturing and sustainability, supervised by
Eujin Pei
Antimicrobial resistance in marine mammals (seals) from polluted waters, supervised by
Gera Troisi and Ashley Houlden
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
Deep learning methods in multi-omics data analysis for critical disease, supervised by
Yang Yang
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
Developing Sustainable Decarbonised Polygeneration System Concept for the Production of Hydrogen, Chemicals and Energy, supervised by
Kok Siew Ng
Developing Sustainable Waste Management Strategies through Innovative Resource Recovery and Valorisation Technologies, supervised by
Kok Siew Ng
Development of next generation bioreactor models, supervised by
Dale McClure
Digital twin in continuous UF/DF step of bioprocess, supervised by
Yang Yang
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
Machine learning for decision making: how to choose the optimal strategy for stratified medicine life cycle, supervised by
Yang Yang
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
Sustainable production of high-value compounds using cyanobacteria, supervised by
Dale McClure
Sustainable production of Vitamin K1, supervised by
Dale McClure
Sustainable products & processes - help industry ditch the plastic and toxic chemicals!, supervised by
Gera Troisi
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
