Research Assistant or Associate in Computational and Machine Learning Tools for Extreme Events in Engineering Fluid Flows in London

Research Assistant or Associate in Computational and Machine Learning Tools for Extreme Events in Engineering Fluid Flows in London

London Full-Time 34650 - 42350 £ / year (est.) Hybrid
I

At a Glance

  • Tasks: Develop machine learning tools for predicting extreme events in engineering fluid flows.
  • Company: Join Imperial College London, a top global university driving impactful research.
  • Benefits: Competitive salary, 39 days off, generous pension, and opportunities for travel and publication.
  • Other info: Flexible role with ample scope for career growth and collaboration.
  • Why this job: Make a real difference in sustainable engineering while working with cutting-edge technology.
  • Qualifications: PhD or equivalent in relevant fields; strong background in CFD, HPC, or machine learning.

The predicted salary is between 34650 - 42350 £ per year.

This post is dedicated to developing hybrid simulation/machine learning tools for the prediction and control of extreme events in engineering-relevant flows. These are rare events where the flow suddenly takes extreme states far from its normal state. These extreme events are becoming increasingly important as the next generation of sustainable engineering flow systems will need to operate in more extreme environments or could themselves exhibit extreme behaviours. Of particular risks are potential extreme events involving carbon-free fuels in future sustainable propulsion systems such as flashback which can occur with hydrogen or blow-off with ammonia.

What you would be doing:

  • You will develop computational methods for the forecasting and control of extreme events in turbulent (reacting) flows.
  • This will include interfacing high fidelity simulation codes with machine learning libraries and deploying them on high-performance computing centres.
  • You will develop and apply this hybrid framework on engineering-relevant flows such as flashback in hydrogen reacting flows.

What we are looking for:

  • Research Associate: Hold a PhD in Aerospace Engineering, Atmospheric Physics or a closely related discipline, or equivalent research, industrial or commercial experience.
  • Research Assistant: A first / masters degree (or equivalent) in Aerospace Engineering, Atmospheric Physics, or a closely related discipline.
  • Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.
  • You should hold, or be close to completing, a PhD in Aerospace/Mechanical Engineering, Physics, Computer Science, Applied Mathematics, or a related field.
  • Strong background in one or more of the following areas: high-fidelity CFD, high-performance computing, machine learning, fluid mechanics, or related fields.
  • Prior experience in reacting flow is highly desirable but not essential.

What we can offer you:

  • Integration in a wider team working on extreme events in fluids under the European Research Council project CONTEXT.
  • A highly flexible role in which you will have the opportunity to collaboratively identify and define your research objectives.
  • The opportunity to gain supervision and project management experience.
  • Ample scope for travelling to international conferences to disseminate the work done.
  • Ample scope for publishing in leading journals.
  • The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
  • Sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes).

This position is available until 31 March 2030.

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

About Imperial: Welcome to Imperial, a global top-ten university where scientific imagination leads to world-changing impact. Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world’s toughest challenges. Whatever your role, your contribution will have a lasting impact.

As a member of our vibrant community of 22,000 students and 8,000 staff, you’ll collaborate with passionate minds across nine London campuses and a global network. This is your chance to help shape the future. We hope you’ll join us at Imperial College London.

Our Culture: We work towards equality of opportunity, eliminating discrimination, and creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities.

Research Assistant or Associate in Computational and Machine Learning Tools for Extreme Events in Engineering Fluid Flows 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.

I

Contact Details:

Imperial College London Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Research Assistant or Associate in Computational and Machine Learning Tools for Extreme Events in Engineering Fluid Flows in London

✨Join Engineering Meetups!

Get yourself along to local engineering meetups or tech conferences. These are great places to connect with like-minded folks and industry leaders who might just have a lead on that full-time Research Assistant or Associate in Computational and Machine Learning Tools for Extreme Events in Engineering Fluid Flows role you’re after at Imperial College London.

✨Show Off Your Projects!

Don’t be shy about showcasing your engineering projects. Whether it’s a funky app, a mechanical design, or a complex algorithm, having a solid portfolio on platforms like GitHub can really make you stand out. Plus, it gives potential employers at Imperial College London a taste of what you can bring to the table!

✨Engage with Online Communities

Dive into engineering forums and online communities, like Reddit or specific engineering Discord channels. Sharing your insights, asking questions, and being active can help you build connections that might lead to job opportunities at Imperial College London.

✨Apply Through Company Websites

When you spot a role like Research Assistant or Associate in Computational and Machine Learning Tools for Extreme Events in Engineering Fluid Flows at Imperial College London, apply directly through their website. Often, this can show your genuine interest in the company and you might just get noticed quicker than via typical job boards.

We think you need these skills to ace Research Assistant or Associate in Computational and Machine Learning Tools for Extreme Events in Engineering Fluid Flows in London

Computational Methods Development
Machine Learning
High-Fidelity CFD
High-Performance Computing
Fluid Mechanics
Turbulent Flow Analysis
Interfacing Simulation Codes

Some tips for your application 🫡

Showcase Your Technical Expertise:When applying for an engineering role like Research Assistant or Associate in Computational and Machine Learning Tools for Extreme Events in Engineering Fluid Flows, it’s essential to highlight your technical skills. Include any relevant software or tools you're proficient in on your CV—think CAD software, simulation tools, or programming languages. Don't skimp on any engineering projects you've worked on that demonstrate your ability to solve complex problems.

Focus on Results and Impact:In the engineering world, we love numbers and real-world impact. Quantify your achievements wherever possible—like reducing costs by a certain percentage, improving efficiency, or successfully completing a project ahead of schedule. This gives your future employers at Imperial College London a clear picture of the value you can bring.

Craft a Compelling Cover Letter:Use your cover letter to express your passion for engineering and explain why you’re drawn to Imperial College London specifically. Share what aspects of their work excite you and how your values align with theirs. This is your chance to show a bit of personality while keeping it professional!

Include Relevant Certifications:If you have any engineering certifications, especially ones that are recognised in your field, make sure to feature them prominently on your CV. They demonstrate not just your knowledge, but also your commitment to professional development, which is something we at StudySmarter value highly.

How to prepare for a job interview at Imperial College London

✨Brush Up on Core Engineering Principles

Before heading into the interview with Imperial College London, make sure you're solid on the fundamental engineering principles relevant to the role. Be ready to discuss concepts such as thermodynamics, fluid mechanics, or structural analysis, depending on the specifics mentioned in the job description. Don’t skip any hands-on projects or coursework; these can be excellent talking points!

✨Show Off Your Problem-Solving Skills

Expect technical questions or case studies during your interview—after all, engineering is all about solving problems! Prepare a few examples of how you've tackled engineering challenges in the past, whether at university or in any practical experience. Practising with mock technical interviews can really help you articulate your thought process and solutions.

✨Relate Your Experience to the Role

In a full-time role, employers like Imperial College London want to see that you can adapt and grow within their team. Be ready to discuss how your previous internships, projects, or studies relate directly to the work you'll be doing. Highlight specific experiences that showcase your collaborative skills and how you've successfully worked within a team environment.

✨Know Your Tools and Software

Most engineering roles require familiarity with specific tools and software. Prepare to talk about your proficiency with programmes like AutoCAD, MATLAB, or SolidWorks if they’re relevant to the role. Even better, have examples of projects where you’ve used these tools, as it'll demonstrate your hands-on experience and readiness for the job.