Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Material Scientist Summer Placement 2025

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

Related Jobs

View all jobs

Data Scientist Consultant

Data Scientist Senior Consultant - Belfast

Data Scientist

Senior Data Scientist

Data Scientist

Senior Data Scientist - AI/ML (CADD)

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

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.