Experimental Physicist

Tadley
1 day ago
Create job alert

Experimental Physicist

Closing Date: 16th June 2025

Location: RG7 4PR, located between Reading and Basingstoke, with free onsite parking.

Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston.

Package: £38,020 - £47,500 (depending on your suitability, qualifications, and level of experience)

Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application.

Let us introduce the role

AWE is recruiting for an Experimental Physicist for the Radiation Diagnostics Team within the Technology Development Group.

This is at a time where we are developing our capability to world class standards.

AWE have an existing light ion accelerator used to deliver high energy neutrons for internal and external customers, and are looking to replace this accelerator with new capabilities utilising the latest technologies. The successful candidate would be hired at the inception of this new project stage and help to develop it from a proposal to reality.

As an applied scientist in the Radiation Diagnostics team, you will become a key part of the team maintaining, developing and running diagnostic instruments. You would be involved in (and potentially lead) projects to bring new instruments from requirements to realisation in support of experimental facilities. This will involve theoretical and computational modelling of instruments, design of hardware, data collection, analysis of data and feedback to customers, as well as experimental testing and characterisation of future and existing instrumentation.

As part of developing our capabilities to world class standards for both internal and external customers, you will be supporting national and international collaborations with AWE's partners in and out of the United Kingdom. This collaboration will entail travel outside of AWE for conferences and experimental trials at UK and international facilities.

Who are we looking for?

We do need you to have the following:

A degree in Physics, and a PhD or relevant post-graduate experience would be beneficial for this role.

Strong communication skills, verbal and written, excellent team working ability, proactive, and highly organised.

Willing to travel and work at other UK and overseas sites as required.

Whilst not to be considered a tick list, we'd like you to have experience in some of the following:

Working in an academic laboratory or industrial setting

Experience in one or more of the following technical areas:

Radiation transport modelling

Nuclear physics

Diagnostic instrument development and design

Robotics and automation

Use of machine learning techniques and tools

Programming language such as Python or C++

You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines.

Some reasons we think you'll love it here:

AWE has wide range of benefits to suit you. These include:

9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave.

Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions).

Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay.

Opportunities for Professional Career Development including funding for annual membership of a relevant professional body.

Employee Assistance Programme and Occupational Health Services.

Life Assurance (4 x annual salary).

Discounts - access to savings on a wide range of everyday spending.

Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring.

The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.

#LI-KT

Related Jobs

View all jobs

Image Processing Engineer

Research Associate - Enabling CO2 Storage Using Artificial Intelligence

Machine Learning Engineer – Wearable Health Algorithms (3Days Left) ...

Applied Data Scientist - 12 months Contract [ApplyNow] ...

Senior Data Scientist - Hometrack

Quantitative Developer

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.

How to Advertise AI Jobs and List AI Vacancies: Advanced Recruitment Strategies for 2025

In a landscape where artificial intelligence (AI) is rapidly transforming industries—from healthcare and finance to manufacturing and creative fields—employers are in stiff competition to secure the best AI talent. Whether you’re a start-up looking for your first machine learning engineer or a global enterprise planning an AI research lab, knowing how to advertise AI jobs effectively has never been more critical. Below, you’ll find in-depth strategies for crafting compelling AI job adverts, optimising your recruitment funnel, and showcasing your organisation as an employer of choice for top AI specialists. We’ll also explore the importance of salary transparency, the best channels for promoting your AI vacancies, and advanced techniques for nurturing a culture of innovation.

AI Training Jobs: Your Comprehensive Guide to Launching a High-Potential Career

Artificial Intelligence (AI) has evolved from a futuristic concept to a core component of modern business strategy. As organisations increasingly embrace AI-driven systems to stay competitive, the demand for qualified professionals who can develop, implement, and train AI models has skyrocketed. In the UK—and indeed worldwide—there is a pressing need for skilled experts who understand the nuances of AI, from algorithm design to ethical considerations. For anyone seeking to enter this exciting field or pivot into a role focusing on AI training, the opportunities are abundant. This in-depth blog post will explore everything you need to know about AI training jobs, the essential skills you’ll need, the current employment landscape in the UK, and how to future-proof your career in AI.

Rural-Remote AI Jobs: A Breath of Fresh Air in the UK Tech Scene

A New Horizon for AI Professionals For years, conversations around tech careers in the UK have hinged on a central theme: to succeed in artificial intelligence (AI), you must be in or around London (or other big metropolitan areas like Manchester, Bristol, or Edinburgh). But times are changing. Technological leaps and the rise of flexible working are paving the way for AI professionals to live and work well beyond the capital. From the rugged coastlines of Cornwall and Pembrokeshire to the rolling hills of the Yorkshire Dales, we’re witnessing an exciting trend of AI remote countryside roles that allow you to work at the forefront of tech innovation—all while enjoying the tranquillity of rural or seaside living. At ArtificialIntelligenceJobs.co.uk, we’re seeing a marked increase in job postings and applications for these sorts of positions. A growing segment of job seekers is actively searching for “tech jobs by the sea” or “AI remote countryside,” driven by a desire for better work-life balance, lower living costs, and a healthier lifestyle. And it’s not just employees who stand to benefit; employers eager to attract top-tier AI talent are discovering that offering remote or flexible roles widens their candidate pool and enhances diversity. If you’re enticed by the idea of logging off from a day of coding neural networks and taking a stroll along a coastal path—or stepping outside your converted barn in Northumberland to soak in some fresh country air—this article is for you. Below, we’ll explore the benefits and challenges of rural-remote AI jobs, the specific roles best suited for remote work, and how to position yourself for success in this rapidly evolving sector.