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- Tasks: Develop a real-time 4D imaging system for studying turbulent multiphase flows.
- Company: University of Manchester, collaborating with Imperial College London.
- Benefits: Tax-free stipend of £20,780, tuition fees covered, and annual increases.
- Other info: Collaborate with a multidisciplinary team and gain unique insights into complex flows.
- Why this job: Join a groundbreaking project that merges AI with experimental fluid dynamics.
- Qualifications: 2.1 honours degree or master's in relevant science or engineering discipline.
The predicted salary is between 20780 - 20780 £ per year.
Application deadline: All year round
Research theme: Multiphase Flows, Experimental Fluid Dynamics, Bubbles, Droplets, Sustainable Energy
This 3.5-year project is funded by the Department of Mechanical, Aerospace and Civil Engineering. Tuition fees will be paid (at home rate) and you will receive a tax-free stipend set at the UKRI rate (£20,780 for 2025/26). We expect the stipend to increase each year.
Multiphase flows are common in natural and industrial processes, such as volcanic flows, bubbles in electrolysers, and blood flows. In many applications, these flows often exhibit transient behaviour, which requires meticulous characterisation simultaneously in 3D space and time. This essentially requires 4D imaging for a better understanding. Although traditional high-speed cameras can achieve 4D imaging, their high data rates limit their use in real-time applications. As a result, the available benchmark data for developing numerical models to predict transient multiphase flows is limited.
This project aims to develop and demonstrate a breakthrough concept for a real-time 4D imaging system by integrating recent advancements in event-based (EB) imaging techniques. For the first time, the proposed system will enable single-shot, real-time 4D Imaging, going beyond the current state of the art.
This project will focus on two main steps:
- Developing real-time tomographic 4D imaging using multiple event-based cameras.
- Developing the first-ever AI/ML algorithm to predict the transition in real time.
This will be implemented in benchmark transient multiphase flows, such as bubbly flows, turbulent liquid jet breakup, etc. The implementation of 4D imaging in such flows will bring the first-ever unique insights into bubble-turbulence interactions, collision, and coalescence dynamics. Subsequently, this enables the development of more accurate computational models for various industrial processes. The experimental methods developed in this project will directly contribute to a better understanding of multiphase flows in a wide range of engineering and medical applications.
Training Opportunities
The project involves close collaboration with Imperial College London. Furthermore, the student will benefit from a multidisciplinary team of scientists, engineers, experimentalists, and mathematicians within the University of Manchester and overseas.
How to Apply
Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline.
Applicants must have:
- A strong foundation in fluid mechanics
- Knowledge of experimental techniques is preferred but not mandatory
- Basic programming skills in any language
- Strong written and verbal communication skills
Please contact the main supervisor, Dr Kuppuraj Rajamanickam - kuppuraj.rajamanickam@manchester.ac.uk. Please include details of your current level of study, academic background and any relevant experience and include a paragraph about your motivation to study this PhD project.
PhD Studentship: Real time 4D Imaging System for Turbulent Multiphase Flows in Manchester employer: The University of Manchester
Contact Detail:
The University of Manchester Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD Studentship: Real time 4D Imaging System for Turbulent Multiphase Flows in Manchester
✨Tip Number 1
Network like a pro! Reach out to current PhD students or faculty members in your field. They can provide insider info about the application process and might even put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions related to your research interests. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your passion! When discussing your motivation for the project, make sure to highlight how your background aligns with the research theme. This will help you stand out as a candidate who truly cares.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always on the lookout for enthusiastic candidates like you!
We think you need these skills to ace PhD Studentship: Real time 4D Imaging System for Turbulent Multiphase Flows in Manchester
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for the project shine through! We want to see why you're excited about real-time 4D imaging and how it connects to your background in fluid mechanics.
Tailor Your Experience: Make sure to highlight any relevant experience you have, even if it's not directly related. We love seeing how your skills can contribute to our multidisciplinary team, so don’t hold back!
Be Clear and Concise: Keep your writing straightforward and to the point. We appreciate clarity, so avoid jargon unless necessary. This helps us understand your qualifications and motivation without getting lost in complex language.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure we receive all your details correctly and can get back to you as soon as possible.
How to prepare for a job interview at The University of Manchester
✨Know Your Stuff
Make sure you brush up on your fluid mechanics and any relevant experimental techniques. Familiarise yourself with the latest advancements in 4D imaging and event-based cameras. This will not only show your passion for the subject but also demonstrate that you're ready to dive into the project.
✨Show Off Your Skills
Be prepared to discuss your programming skills, even if they're basic. Think of examples where you've used coding in your studies or projects. If you can relate this to the AI/ML algorithms mentioned in the job description, even better!
✨Communicate Clearly
Strong written and verbal communication skills are a must. Practice explaining complex concepts in simple terms. You might be asked to present your previous work or ideas, so make sure you can articulate your thoughts clearly and confidently.
✨Express Your Motivation
When discussing your motivation for applying, connect it to the project's goals. Talk about why you're excited about real-time 4D imaging and how it relates to your career aspirations. Showing genuine enthusiasm can really set you apart from other candidates.