At a Glance
- Tasks: Develop innovative data assimilation methods for multi-physics flows in aeronautics.
- Company: Join the prestigious Department of Aeronautics at Imperial College London.
- Benefits: Fully-funded PhD with a tax-free stipend of £23,805 and excellent career support.
- Other info: Collaborate with experts and present your work at international conferences.
- Why this job: Make a real impact in aeronautics while gaining cutting-edge research experience.
- Qualifications: First class honours degree in relevant mathematical or engineering disciplines required.
The predicted salary is between 23805 - 23805 £ per year.
Start date: Between 1st August 2027 and 1st July 2028
Application deadline: 23:59, 4th January 2027 (UK time)
Introduction: Every model is wrong, and in engineering the errors matter. From aircraft wings to wind turbines and combustors, engineering systems are governed by fluid flows that interact with other physical processes, such as structural vibrations, acoustics and chemical reactions. On the one hand, physics-based models of these multi-physics systems are extrapolative – they provide predictions on phenomena that have not been observed. However, their parameters are uncertain, and their equations neglect part of the physics. On the other hand, measurements provide information on the true state of the system, but they are sparse and noisy. When operating conditions change rapidly, model errors grow, and forecasts lose accuracy precisely when they are needed most. Real-time data assimilation, which combines models with measurements, offers a way forward. However, most existing methods assume that the model is unbiased and they cannot cope with rapid changes in operating conditions, such as a gust hitting an aircraft wing or a sudden change in the load of a combustor.
A fully-funded PhD studentship is available at the Department of Aeronautics, Imperial College London, to develop bias-aware data assimilation methods that estimate and correct model error as the dynamics evolve. The output of the project will be a model that learns from data any time that measurements are assimilated, without violating the physics. We will prototype the methods on low-order dynamical systems, and we will scale them up to higher-dimensional multi-physics problems.
You will gain experience in data assimilation and Bayesian inference, physics-constrained machine learning, and computational methods for multi-physics systems. You will employ high-performance computing facilities, present your work at international conferences, publish in peer-reviewed journals, and benefit from Imperial’s doctoral training programme and career support. These skills will prepare you for careers in academia, industry and research laboratories.
Supervisors: Dr. Andrea Nóvoa
Duration: 3.5 years.
Funding: Full tuition fees and an annual tax-free stipend of £23,805 for Home, EU and International students.
Eligibility: Candidates will be expected to achieve/have achieved a First class honours MEng/MSci or higher degree (or international equivalent) in: mathematical or engineering disciplines such as Aeronautics, Mechanical Engineering, Mathematics, Statistics or Physics. A background in computational physics or mathematics, data assimilation, or dynamical systems for fluid mechanics is an advantage. We look for curious and motivated candidates who enjoy working at the interface between physics, mathematics and computation. We welcome applications from people of all backgrounds.
Contact: For more specific project information, email: Dr. Andrea Nóvoa. For admissions questions, please first read our Frequently Asked Questions. If your question has not been answered, please email the PhD Administrator (Admissions).
Equality, Diversity and Inclusion: Imperial is committed to equality and valuing diversity. We are an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.
PhD Studentship in Aeronautics: Real-time Data Assimilation for Multi-physics Flows (AE0095) in London employer: Imperial College London
Imperial College London is an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation within the International Relations Office. Employees benefit from professional growth opportunities, a commitment to diversity, and the chance to engage in meaningful projects that have a global impact, all set in the heart of one of the world's leading academic institutions.
StudySmarter Expert Advice🤫
We think this is how you could land PhD Studentship in Aeronautics: Real-time Data Assimilation for Multi-physics Flows (AE0095) in London
✨Connect with University Networks
Let’s leverage your university connections! Many universities have aerospace engineering societies or workshops where major companies often scout for talent. Give those events a go, and don’t hesitate to chat with guest lecturers or industry professionals — they might just know about upcoming internships!
✨Get Involved in Relevant Projects
Hands-on experience is key in aerospace engineering! Look for summer projects, competitions, or even university research roles that showcase your skills. The more you can demonstrate practical experience, the better your chances at landing that internship!
✨Show Off Your Passion for Aerospace
Join online communities focused on aerospace engineering, like forums or LinkedIn groups. Participate in discussions and share your projects or insights. This visibility can set you apart and get you noticed by recruiters looking for passionate interns like you!
✨Consider Local Aerospace Events
Keep an eye out for aerospace expos or job fairs in your area. These are excellent opportunities to network face-to-face with potential employers. Bring some copies of your CV, and don't forget to mention that you're eyeing an internship with companies like Imperial College London!
We think you need these skills to ace PhD Studentship in Aeronautics: Real-time Data Assimilation for Multi-physics Flows (AE0095) in London
Some tips for your application 🫡
Show Off Your Relevant Skills:In aerospace engineering, it's key to highlight your technical skills upfront. Make sure to mention any design software you’ve used, like CATIA or SolidWorks, and detail any projects you’ve worked on, whether in university or personal endeavours. It shows you're ready to hit the ground running!
Tailor Your CV to the Role:Since this is an internship, we want to see your learning potential. Focus on relevant coursework, projects, and any hands-on experience in aerospace or engineering. Don't forget to include extracurricular activities like joining engineering clubs or competitions that can showcase your passion for the field!
Craft a Compelling Cover Letter:Here’s your chance to tell your story! Explain why aerospace engineering excites you and what you hope to learn from Imperial College London. Be genuine about your motivation and don’t shy away from sharing specific goals you have for the internship — it helps us see your enthusiasm and how you could fit our team!
Include Academic Achievements:Your academic record can make a real difference, especially for an internship. Highlight any relevant courses you excelled in and include your grades, particularly in maths and physics. If you’ve participated in research or published any papers, be sure to mention them as well — it gives us an insight into your technical background!
How to prepare for a job interview at Imperial College London
✨Brush Up on Your Technical Fundamentals
Since we're diving into the world of aerospace engineering, make sure you're solid on the core concepts. Expect questions on aerodynamics, materials science, and propulsion systems. It’ll give you a great chance to showcase your knowledge and passion for the field!
✨Showcase Your Projects
As an intern, what they want to see is your potential and enthusiasm! Prepare a portfolio of relevant projects or coursework. Even if they’re just uni assignments, if you got into the nitty-gritty details, it shows you’ve got the skills we need to develop further.
✨Prepare for Problem-Solving Scenarios
Aerospace engineering often involves tackling complex problems, so be ready for some situational questions. You might be asked to solve a hypothetical engineering challenge on the spot, so think through your problem-solving process and be clear in your explanations.
✨Convey Your Learning Mindset
As this is an internship, they'll be looking for candidates who are eager to learn and grow. Be prepared to talk about what you want to achieve during your internship at Imperial College London. Show them that you’re keen to absorb knowledge from their expertise in the industry, and how those experiences will shape your career.
