Senior Aerodynamics Engineer - CFD

Sunbury-on-Thames
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Electronics Test Engineer

Senior Commercial Executive - German

Senior Manager, Compensation Benefits

Senior Data Engineer

Senior Data Engineer | Outside IR35 | Remote

Senior Risk Business Partner

NEW SENIOR AERODYNAMICS ENGINEER - CFD JOB AVAILABLE NEAR SUNBURY-ON-THAMES, SURREY

  • Hybrid Working – Flexible hours + 1 day WFH or extra annual leave

  • Cutting-edge Research and Product Development

  • Great company culture with a collaborative, multi-disciplinary team

  • Private healthcare, life assurance, and more

    THE COMPANY OVERVIEW
    We’re on the lookout for a bright and curious Senior Aerodynamics Engineer to join a pioneering technology business based near Sunbury-on-Thames, Surrey. With over two decades of expertise in ultrasonic wind sensing, this company has built a strong global reputation in wind energy, meteorology, marine and defence markets.

    Working with a highly talented team of engineers and scientists across the UK and Europe, they are constantly innovating — blending computational fluid dynamics, acoustics, and data science to push the boundaries of sensor performance. With recent company growth and investment, now is the perfect time to join the next phase of their R&D journey.

    THE JOB
    As a Senior Aerodynamics Engineer, you’ll play a key role in the research team, focusing on the development, optimisation, and validation of sensor performance through advanced CFD modelling and experimentation. This will include analysing aerodynamic, aeroacoustic, and thermal behaviours, creating multi-physics models, and supporting the development of digital twin technologies.

    You’ll also take ownership of research projects (or sub-projects), work collaboratively with cross-functional teams, and contribute to the company’s IP portfolio. Your work will directly impact the future direction of innovative wind sensing products.

    WHAT IS REQUIRED FROM YOU



An academic background in Aerodynamics or Aeronautics with a specialism in CFD

*

Significant post-doctoral or industry experience applying CFD modelling

*

Expertise in RANS, LES turbulence modelling, and aerothermal analysis

*

Experience validating CFD models with experimental data

*

Proven track record of publishing in peer-reviewed journals or international conferences

*

Proficient in Python (or similar) for data analysis

*

Strong communication skills and a creative, analytical mindset

*

Ability to work independently and lead on technical challenges

Desirable Skills

*

Specialisation in subsonic, transitional or separated flow

*

Experience with transition models and commercial CFD tools (e.g. ENGYS, COMSOL)

*

Exposure to Linux and high-performance computing environments

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.