National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Material Scientist Summer Placement 2025

UK Atomic Energy Authority
South Oxfordshire District
4 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist Manager

Data Scientist Senior Consultant

Data Scientist Consultant

Data Scientist

Senior Scientist – Functional materials, thin films and coatings

Senior Scientist – Functional materials science and particle chemistry

Company Description

By 2050, the planet could be using twice as much electricity compared to today. Are you interested in contributing and helping to shape the future of the world’s energy? If so, read on.

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 for groundbreaking advancements. Our goal is to bring fusion electricity to the grid, supported by tomorrow's power stations. In pursuit of our mission, UKAEA embraces core values: Innovative, Committed, Trusted, and Collaborative.

Job Description

The Role

Are you looking for an exciting opportunity to make a difference? Join our team and contribute to the future of fusion energy.

We offer excellent opportunities for motivated and enthusiastic undergraduate students studying at UK Universities to join our 8-12-week summer placement scheme. The scheme is designed for students entering their penultimate or final year of studies, with potential opportunities post-graduation.

Our scheme gives you a unique opportunity to contribute to the development of one of the most advanced sources of sustainable and clean energy. During your summer programme, you will experience a broad range of diverse tasks, work on real projects, and gain invaluable experience within the fusion energy sector. UKAEA offers a nurturing and supportive community for you to gain valuable work experience in a fascinating and rapidly evolving industry.

Overview

Project title: Automating mechanical test result analysis of NEURONE steels

The objective of this project is to utilize Python or MATLAB to process raw data obtained from various mechanical tests, including tensile, creep, fracture toughness, and fatigue tests. The goal is to generate valuable engineering results, such as yield strength, ultimate tensile strength (UTS), and elongation values derived from tensile testing.

The student will integrate these results into a comprehensive material property handbook, employing a combination of Python and LaTeX for the final document creation. Additionally, the student will evaluate and rank each material based on their mechanical properties to identify the top-performing alloy variant.

Qualifications

Essential Requirements:

  • To be considered, you will need to be working towards a relevant degree and will be required to have the right to work in the UK.

Additional Information

A full list of our benefits can be foundhere.

UKAEA's mission is clean energy for all, and we welcome talented people from all backgrounds who want to help us achieve our mission. We are under-represented from some groups and so want to encourage applications in particular from women in STEM, people from Black British Caribbean and African backgrounds, and from Pakistani and Bangladeshi British backgrounds. Our Executive team, supported by our 'Head of Equality, Diversity and Inclusion' (EDI) and Wellbeing and our EDI Networks actively promote Inclusion and take steps to increase diversity within our organization. We reinforce best practices in recruitment and selection and evaluate approaches to remove barriers to success.

UK Atomic Energy Authority is committed to being accessible. Please email if you have any questions or require help or adjustments to compete on a fair basis, for example, changes to the way we interview or share information.

Please note that vacancies are generally advertised for 4 weeks but may close earlier if we receive a large number of applications.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.