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- Tasks: Design and test energy-efficient algorithms for Computational Fluid Dynamics using cutting-edge HPC technology.
- Company: Join a world-leading institution focused on sustainable high performance computing and clean energy solutions.
- Benefits: Enjoy 39 days off, generous pension schemes, and access to state-of-the-art HPC facilities.
- Why this job: Be part of a multi-disciplinary project that tackles sustainability challenges while advancing your career in research.
- Qualifications: PhD or equivalent experience in high performance computing or computational fluid dynamics; master's degree for assistant role.
- Other info: Collaborate with industry leaders like NVIDIA and contribute to open-source projects.
The predicted salary is between 36000 - 60000 £ per year.
Applications are invited for a fully funded fixed-term position at the Research Assistant / Associate (PostDoc) level in high performance computing for computational fluid dynamics applications.
High-Performance Computing (HPC) systems are essential infrastructure for solving complex scientific and engineering challenges. However, the rapid growth of HPC alongside AI is creating an urgent sustainability challenge, making energy-efficient computing a critical research priority.
This project addresses this challenge through a novel co-design approach that simultaneously optimizes both hardware and software for maximum performance per watt. You will investigate how configurable and customizable processing technologies can be leveraged to create fundamentally more energy-efficient Computational Fluid Dynamics algorithms.
The research focuses on wind energy applications, creating a compelling sustainability narrative: developing more efficient computational methods to optimize wind farm performance, which in turn generates clean energy that can power future HPC systems.
You will design, implement, and test energy-efficient Computational Fluid Dynamics (CFD) algorithms by leveraging energy-efficient hardware within the open-source finite-difference framework Xcompact3d.
You will perform high-fidelity simulations of large-scale wind farms using the wind farm simulator across a wide range of hardware (including CPUs and GPUs).
Qualifications:
- Research Associate: Hold a PhD in high performance computing, computational fluid dynamics, or a closely related discipline, or equivalent research, industrial, or commercial experience.
- Research Assistant: A first/masters degree (or equivalent) in high performance computing, computational fluid dynamics, or a closely related discipline.
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.
Desired Skills and Opportunities:
- Expert in programming on supercomputers
- Expert in computational fluid dynamics
- Experience collaborating with industry partners and diverse research teams
- Creative problem-solving skills and ability to work independently
- Join an exciting multi-disciplinary project focusing on a more sustainable high performance computing landscape
- Opportunity to design algorithms for energy-efficient hardware such as RISC-V
- Interaction with high performance computing companies like NVIDIA, XILINK (AMD), and HPE
- Contribute to Xcompact3d, an open-source framework of flow solvers dedicated to turbulent flows on supercomputers
- Access to state-of-the-art high performance computing facilities
- Opportunity to continue your career at a world-leading institution and contribute to science for humanity
- Career growth: Gain access to Imperial’s sector-leading resources and opportunities for promotion and progression
- Sector-leading salary and remuneration package, including 39 days off a year and generous pension schemes
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Research Assistant or Associate in high performance computing for computational fluid dynamics [...] employer: Imperial College London
Contact Detail:
Imperial College London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Assistant or Associate in high performance computing for computational fluid dynamics [...]
✨Tip Number 1
Familiarise yourself with the latest advancements in high performance computing and computational fluid dynamics. Being well-versed in current trends and technologies will not only boost your confidence but also help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field, especially those working with HPC systems or in wind energy applications. Attend relevant conferences, workshops, or webinars to make connections that could lead to valuable insights or even referrals for the position.
✨Tip Number 3
Showcase your programming skills by contributing to open-source projects like Xcompact3d. This hands-on experience will not only enhance your technical abilities but also demonstrate your commitment to the field and your ability to work collaboratively.
✨Tip Number 4
Prepare to discuss your problem-solving approach in detail. Given the emphasis on creative solutions in this role, think of specific examples from your past experiences where you tackled complex challenges, particularly in energy-efficient computing or CFD.
We think you need these skills to ace Research Assistant or Associate in high performance computing for computational fluid dynamics [...]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in high performance computing and computational fluid dynamics. Emphasise any projects or research that align with the job description, particularly those involving energy-efficient algorithms or supercomputers.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your passion for sustainability in high performance computing. Mention specific skills that relate to the role, such as programming on supercomputers or experience with open-source frameworks like Xcompact3d.
Highlight Collaborative Experience: Since the position involves collaboration with industry partners and diverse research teams, be sure to include examples of past teamwork. Discuss any collaborative projects you've worked on, especially those that required creative problem-solving.
Showcase Relevant Skills: List any specific programming languages or tools you are proficient in that are relevant to the role. If you have experience with RISC-V or similar energy-efficient hardware, make sure to mention it, as this aligns well with the job's focus.
How to prepare for a job interview at Imperial College London
✨Showcase Your Technical Skills
Make sure to highlight your expertise in high performance computing and computational fluid dynamics. Be prepared to discuss specific projects or experiences where you've successfully implemented algorithms or worked with supercomputers.
✨Demonstrate Problem-Solving Abilities
Prepare examples that showcase your creative problem-solving skills. Discuss how you've tackled complex challenges in previous roles, especially those related to energy-efficient computing or algorithm design.
✨Familiarise Yourself with the Project
Research the specific project and its goals, particularly the focus on sustainability in HPC. Understanding the context will allow you to ask insightful questions and demonstrate your genuine interest in the role.
✨Engage with Industry Knowledge
Be ready to discuss your experience collaborating with industry partners and your knowledge of companies like NVIDIA and HPE. This shows that you are well-connected and understand the landscape of high performance computing.
