At a Glance
- Tasks: Lead innovative Digital Twin projects and mentor a dynamic team of specialists.
- Company: Join UKAEA, a leader in fusion energy research and advanced computing.
- Benefits: Enjoy a competitive salary, generous leave, and flexible working options.
- Other info: Collaborate with top scientists and industry partners in a diverse environment.
- Why this job: Make a real impact on the future of clean energy and advanced technology.
- Qualifications: PhD in a relevant field and experience in Digital Twin technologies required.
The predicted salary is between 40000 - 45000 £ per year.
Digital Twin Scientist
Overview of Responsibilities About us Fusion, the process that powers the sun and stars, is one of the most promising options for generating the cleaner, carbon-free energy that our world badly needs.
UKAEA leads the way in realizing fusion energy, partnering with industry and research organisations to achieve ground-breaking advancements.
Our goal is to bring fusion electricity to the grid by developing the power stations of tomorrow and the skilled workforce to deliver them.
About the Job
The UK Atomic Energy Authority (UKAEA) Computing Division is at the forefront of advanced computing, delivering research, development, and specialist support to enable world‑leading fusion energy research.
Our expertise spans cloud computing, high performance and high‑throughput computing, scientific software, artificial intelligence, machine learning, exascale technologies, and data visualisation.
Working alongside leading scientists, engineers, academia, and industry partners, we develop innovative computing solutions that accelerate scientific discovery and shape the future of advanced computing infrastructure in the UK and beyond.
You will provide technical leadership and mentorship while delivering innovative Digital Twin solutions that support cutting‑edge scientific and engineering programmes.
You’ll lead projects and multidisciplinary teams, contribute to software development and technical strategy, and act as a recognised subject matter expert within UKAEA.
With a high degree of autonomy, you’ll collaborate across the organisation and represent UKAEA at national and international events, helping to drive the adoption and impact of Digital Twin Technologies and advanced data visualisation techniques.
Qualifications
- Knowledge of visualisation frameworks (Kitware‑Paraview, Omniverse, Blender, Unity, Unreal‑Engine)
- Track record of publications in Digital Twin and/or Advanced Visualisation
- Experience in Data governance, data integration, data engineering
- Skills in visualisation‑relevant data formats (VTK, VTU, USD, Open USD, HDF5)
- Experience with CAD‑relevant data formats (STEP, JT, STL)
- Knowledge of Digital twin software (Omniverse, Ansys‑Twin‑Builder, Siemens‑NX)
- Experience with HPC and GPU architectures for graphics technologies (Nvidia RTX)
- Knowledge of Digital Threads technologies (Galaxy, Apache‑Airflow)
- What You’ll Be Doing
- Lead Digital Twin projects, ensuring milestones are delivered on time, within budget, and to a high standard.
- Manage and mentor a small team of 4–6 specialists.
- Collaborate with leading academic, research, and industry partners to develop next‑generation Digital Twin capabilities and evaluate emerging computing technologies.
- Drive the development of innovative visualisation tools, frameworks, and workflows for scientific data, real‑time analysis, AI‑driven visual analytics, and high‑performance computing environments.
- Develop strategic Digital Twin capabilities across UKAEA, securing research funding, influencing organisational standards, and promoting best practice through cross‑functional collaboration.
- What you’ll Bring
- A Ph D degree in a computational, mathematical or physical science discipline, with demonstratable Post‑Doctoral experience (or equivalent experience in either a commercial or research environment), relevant to the area of Digital Twin for fusion science, such as Advanced Visualisation, Digital Engineering, Data Science, Modelling.
- Recognised internationally as an expert in the field of Digital Twins for fusion.
- Demonstrable experience managing projects, budget and resource allocation.
- Track record of publishing research in the area of Digital Twins for fusion, or a similar area of research with transferable knowledge to fusion science.
- Demonstrable experience of at least one compiled programming language (e. g. C++, Fortran, C, Rust) or advanced scripting language (e. g. Python Julia, R)
- Good experience of the UNIX operating system, particularly the command line interface.
- Ability to work within a diverse team, but willingness to take significant personal responsibility.
- Excellent written and spoken English.
Benefits
- A salary of £64,820 (inclusive of a £6,500 specialist allowance)
- Up to 7% corporate performance bonus
- Final salary defined benefits pension scheme with an equivalent of 21.5% employer pension contribution
- 25 days annual leave, 2.5 privilege days and 8 Bank Holidays
- 3 days of site closure over Christmas break
- Flexible working options plus family‑friendly leave provisions
UKAEA is an onsite organisation, and this role requires regular onsite presence (usually between 3‑5 days in any given week) in line with business needs.
We actively support flexible working arrangements where this is compatible with the role.
Our commitment to ED&I
UKAEA’s mission is clean energy for all, and we welcome talented people from all backgrounds to help us achieve this goal.
We are committed to equality, diversity, inclusion and accessibility, and strive to ensure fair representation across our workforce.
As a Disability Confident Employer, we are committed to providing an inclusive and accessible recruitment experience for all candidates.
We particularly encourage applications from groups currently underrepresented in STEM, including women and people from diverse ethnic backgrounds.
All appointments are made on merit and further information can be found here.
International Travel
International travels for short periods of 3‑5 days are typical of roles at this level.
- Job Summary
- Programme: Data Solutions
- Discipline: Engineering
- Site Location: UKAEA Culham, Oxfordshire
- Type of Employment: Full‑time
- Reference Number: REF4367R
- #J-18808-Ljbffr
Digital Twin Scientist in Abingdon employer: Fusion Energy Base
At Fusion Energy Base, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and the chance to work on groundbreaking projects that will shape the future of energy in the UK. Located at the forefront of fusion technology, we provide a competitive salary package and a unique opportunity to make a meaningful impact in the field of advanced materials and manufacturing.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Twin Scientist in Abingdon
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Fusion Energy Base!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Digital Twin Scientist at Fusion Energy Base.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Fusion Energy Base.
✨Apply Directly through Our Website
When you find a suitable opening like Digital Twin Scientist at Fusion Energy Base, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Digital Twin Scientist in Abingdon
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Fusion Energy Base, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Fusion Energy Base. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Fusion Energy Base
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Fusion Energy Base!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
