At a Glance
- Tasks: Develop cutting-edge simulations for marine propulsion systems using advanced modelling techniques.
- Company: Join a leading research group at a top UK university.
- Benefits: Receive a stipend of £18,198 per annum and cover tuition fees for up to 3.5 years.
- Other info: Opportunity to work with innovative technologies and contribute to groundbreaking research.
- Why this job: Make a real impact in the field of aerodynamics and turbulence modelling.
- Qualifications: Must have a strong undergraduate degree (UK 2:1 or equivalent).
The predicted salary is between 18198 - 18198 £ per year.
The research of alternative novel propulsion systems relies on the capability to produce reliable and predictive numerical simulations of such systems including details of the moving parts. In recent years, substantial advancements have been achieved in the fields of Large Eddy Simulation (LES) and Immersed Boundary (IB) modeling techniques, paving the way for accurate predictions of time-dependent flow patterns around complex and dynamic marine structures.
This project is dedicated to the creation of a comprehensive numerical framework, with the primary objective of comprehending and simulating unsteady boundary layers on dynamic geometries. Understanding and modeling unsteady boundary layers on mobile structures is of paramount significance. The novel “Immersed Large Eddy Simulation” (ILES) approach developed will include two main parts: the combination of IB into a CFD solver with a dynamically adaptive grid, and a deep learning model for the closure of the sub-grid-scales terms in LES.
The first step is to create a tool for the high-fidelity numerical simulation of such phenomena. The Wavelet Adaptive Multiresolution Representation (WAMR) method, developed by the project’s lead supervisor, uses the wavelet representation to generate a dynamically adaptive 3D grid. The second step is to use the database created to train generative adversarial networks (GANs) to overcome the limitations in modeling the interaction between moving walls and turbulence.
The project aims to:
- further develop WAMR to be efficiently used for massive numerical simulations (both DNS and LES) on High-performance computing (Tier-1) facilities;
- investigate and model moving wall-turbulence interaction in the unique database realized with WAMR.
The main tasks of the project are:
- Develop and implement an asynchronous time integrator for WAMR
- Adapt the WAMR parallel algorithm to new computational resources (hybrid parallelization)
- Exploit the use of GPU for some tasks (e.g.: wavelet transform)
- Enhancement of the scalability performance up to Exa-scale computing
- Collection and production of databases (DNS) for wall-bounded turbulence (to also be used for machine learning training in parallel projects)
- Investigation of interaction between moving walls and turbulence
- Data-driven (GAN) modelling of the wall-bounded turbulence
- Integration into WAMR of classical models as well as data-driven models
- A-posteriori validation of the models (LES)
If you wish to discuss any details of the project informally, please contact Dr. Temistocle Grenga, Aerodynamics and Flight Mechanics Research Group, Email: t.grenga@soton.ac.uk, Tel: +44 (0) 2380 59 7918.
Entry Requirements
A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent).
Closing Date: 31 August 2024. Applications will be considered in the order that they are received, the position will be considered filled when a suitable candidate has been identified.
Funding: For UK students, Tuition Fees and a stipend of £18,198 (+~30%) tax-free per annum for up to 3.5 years.
How To Apply
Apply online: HERE Select programme type (Research), 2024/25, Faculty of Engineering and Physical Sciences, next page select “PhD Engineering & Environment (Full time)”. In Section 2 of the application form you should insert the name of the supervisor Dr Temistocle Grenga.
Applications should include:
- Research Proposal
- Curriculum Vitae
- Two reference letters
- Degree Transcripts/Certificates to date
For further information please contact: feps-pgr-apply@soton.ac.uk
PhD Studentship: CFD and Data-driven Modelling for Accurate Force and Acoustic Predictions in Southampton employer: University of Southampton
As a leading research institution, we offer an exceptional environment for PhD candidates to thrive in cutting-edge fields such as computational fluid dynamics and data-driven modelling. Our collaborative work culture fosters innovation and creativity, while our commitment to professional development ensures that students have access to valuable resources and mentorship. Located in a vibrant academic community, this position provides unique opportunities to engage with industry leaders and contribute to groundbreaking research that shapes the future of propulsion systems.
StudySmarter Expert Advice🤫
We think this is how you could land PhD Studentship: CFD and Data-driven Modelling for Accurate Force and Acoustic Predictions in Southampton
✨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 an informal chat! If you’re keen on this PhD, don’t hesitate to contact Dr. Temistocle Grenga. A casual conversation can help you stand out and show your genuine interest.
✨Tip Number 3
Show off your skills! When you get the chance, discuss any relevant projects or research you've done. This is your moment to shine and demonstrate how you fit into the team.
✨Tip Number 4
Apply through our website! It’s the easiest way to ensure your application gets seen. Plus, make sure to tailor your CV and research proposal to highlight your fit for the project.
We think you need these skills to ace PhD Studentship: CFD and Data-driven Modelling for Accurate Force and Acoustic Predictions in Southampton
Some tips for your application 🫡
Craft a Stellar Research Proposal:Your research proposal is your chance to shine! Make sure it clearly outlines your ideas and how they relate to the project. We want to see your passion and understanding of CFD and data-driven modelling, so don’t hold back!
Tailor Your CV:When you’re putting together your CV, make it relevant to the PhD position. Highlight any experience or skills that align with the project’s focus on numerical simulations and turbulence modelling. We love seeing how your background fits into our world!
Get Those References Ready:Choose referees who know your work well and can speak to your abilities in research and teamwork. A strong reference can really boost your application, so make sure they’re on board and ready to support you!
Apply Through Our Website:Don’t forget to apply through our website! It’s the easiest way for us to keep track of your application. Follow the steps carefully, and ensure you include all required documents. We can’t wait to see what you bring to the table!
How to prepare for a job interview at University of Southampton
✨Know Your Stuff
Make sure you’re well-versed in the latest advancements in CFD, LES, and ILES. Brush up on your understanding of wavelet transforms and how they apply to dynamic simulations. Being able to discuss these topics confidently will show that you're genuinely interested and knowledgeable about the field.
✨Showcase Your Skills
Prepare to talk about any relevant projects or research you've done, especially those involving numerical simulations or machine learning. Bring examples of your work, whether it's code snippets, simulations, or even presentations. This will help demonstrate your practical experience and problem-solving abilities.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the project and the team. Inquire about the specific challenges they face with moving wall-turbulence interactions or how they envision the integration of data-driven models into WAMR. This not only shows your enthusiasm but also helps you gauge if the project aligns with your interests.
✨Connect with the Supervisor
If possible, reach out to Dr. Temistocle Grenga before the interview. Discussing the project informally can give you valuable insights and help you tailor your responses during the interview. Plus, it shows initiative and a proactive approach, which is always a plus in academia.
