At a Glance
- Tasks: Conduct cutting-edge research in AI for turbomachinery design and machine learning applications.
- Company: Join Imperial College London, a top global university driving innovation and impact.
- Benefits: Enjoy a competitive salary, 43 days off, and opportunities for hybrid working.
- Other info: Collaborate with diverse teams and engage with industry leaders in a supportive environment.
- Why this job: Make a real difference in sustainable energy and transportation with your research.
- Qualifications: PhD in relevant fields and strong background in machine learning or fluid dynamics.
The predicted salary is between 37800 - 46200 £ per year.
Research Associate in AI for Turbomachinery Design
The Sustainable Energy Technology and Turbomachinery Laboratory (SETTL) at Imperial College London is seeking a postdoctoral researcher to contribute to a Mitsubishi Heavy Industries (MHI)-funded project focused on the application of artificial intelligence (AI) to turbomachinery design.
The project aims to investigate and demonstrate how AI canaccelerate engineering design processes, enable more efficient exploration of complex design spaces, and unlock new opportunities for innovation in turbomachinery design for future energy and transportation systems.
Working closely with industrial stakeholders, the successful candidate will further develop, validate and apply AI-enabled design methodologies integrated with computational fluid dynamics (CFD) to support the generation, evaluation, and optimisation of turbomachinery components.
The research outcomes will advance AI-enabled approaches to engineering design and support the development of more efficient and sustainable turbomachinery technologies.
This is an exciting opportunity to contribute to research at the intersection of AI, machine learning, CFD and turbomachinery, working with academic and industrial collaborators to develop innovative approaches to engineering design.
The postholder will work with Dr Teng Cao in the Thermofluids Division of the Department of Mechanical Engineering.
- What you would be doing
- Undertake research in AI-enabled turbomachinery design, CFD and machine learning.
- Develop and apply machine learning-based design frameworks for turbomachinery applications.
- Conduct numerical simulations and analyse turbomachinery performance.
- Prepare and process data for machine learning and CFD workflows.
- Contribute to project reports, publications and presentations.
- Engage with the industrial sponsor and participate in project meetings.
- What we are looking for
- You should hold, or be close to completing, a Ph D in a relevant discipline (such as Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Applied Mathematics, or a related field).
- You should have a strong background in one or more of the following areas: machine learning, CFD, turbomachinery, and fluid dynamics.
- You should have track record of high-quality research publications in fluid mechanics, turbomachinery, machine learning, CFD, or related fields.
- You should have strong communication and interpersonal skills, with the ability to work effectively in both academic and industrial research environments.
- What we can offer you
- Working as part of a diverse, friendly, and supportive departmental team.
- Opportunity to work and network with a wide variety of College and Faculty teams.
- The opportunity to continue your career at a world-leading institution
- Sector-leading salary and remuneration package (including 43 days off a year)
- Further information
This position is fixed term and is expected to run until 31 st October 2027.
We anticipate that the successful candidate will start on 1 st November 2026.
Hybrid working may be considered for this role.
Staff working in roles that are suitable for hybrid working will normally be expected to work 60% of their time onsite.
The opportunity for hybrid working will be discussed at interview.
Attached documents are available under links. Clicking a document link will initialize its download.
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, to eliminating discrimination, and to 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.
You can read more about our commitment on your web pages .
Proud signatory of the Armed Forces Covenant. We welcome applications from the Armed Forces community.
Our values are at the root of everything we do, and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.
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Research Associate in AI for Turbomachinery Design employer: SONICOM
At SONICOM, we pride ourselves on being an excellent employer by fostering a diverse and inclusive research environment that encourages collaboration and innovation. Our commitment to employee growth is reflected in our sector-leading salary and opportunities for professional development, making this an ideal place for passionate individuals to thrive in the field of mitochondrial medicine.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate in AI for Turbomachinery Design
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We think you need these skills to ace Research Associate in AI for Turbomachinery Design
Some tips for your application 🫡
Highlight Your Versatile Engineering Skills:For a temporary engineering role like this one at SONICOM, make sure to showcase a broad range of your engineering skills. Talk about different projects you’ve undertaken, focusing on your problem-solving ability and adaptability—key traits for temporary positions that depend on quick integration into teams.
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Tailor Your CV to Showcase Relevant Experience:Make sure your CV is tailored to reflect the specific engineering projects relevant to the job. For instance, if you’ve worked on temporary contracts before or have engaged in diverse engineering processes, highlight these experiences to show how well-rounded you are.
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How to prepare for a job interview at SONICOM
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Expect to tackle some practical scenarios during the interview. Whether it's a design challenge or a troubleshooting test, SONICOM might want to see how you approach real-world engineering problems. Think of specific examples from your past work where you had to think on your feet and be ready to walk your interviewers through your thought process.
✨Show Your Adaptability in Temporary Roles
Since this is a temporary position, it’s key to demonstrate your flexibility and ability to hit the ground running. Make sure to convey your eagerness to learn and adapt quickly to the team and the specific projects at SONICOM. We all know that temporary roles can be a bit of a whirlwind, so emphasise your quick learning skills and your approach to managing change.
✨Highlight Relevant Portfolio Projects
If you've worked on engineering projects that align with the role at SONICOM, make sure to bring them up! A portfolio can be a great way to illustrate your engineering prowess. Discuss the challenges you faced, the solutions you implemented, and the results achieved – this will give the interviewers a tangible idea of what you bring to the table.
