At a Glance
- Tasks: Develop models to predict material behaviour and collaborate on innovative research projects.
- Company: Amentum, a leader in engineering and innovation for a sustainable future.
- Benefits: Flexible working hours, supportive team culture, and career development opportunities.
- Other info: Inclusive workplace focused on mental wellbeing and collaboration.
- Why this job: Make a real impact in materials science while working with cutting-edge technology.
- Qualifications: PhD or near completion in relevant fields and experience with modelling methods.
The predicted salary is between 40000 - 50000 £ per year.
At Amentum, we're not just solving problems; we're engineering the future. Our team is driven by an unyielding commitment to innovation, integrity, and collaboration, tackling some of the most significant challenges in science, security, and sustainability. If you're passionate about making a real impact and want to be part of a community that values ethical excellence, this is the place where your ambition can thrive.
We believe that success comes from continuously pushing boundaries and working together to deliver on our promises. We embrace challenges with confidence and are dedicated to creating a secure and vibrant future for all. We’ll inspire and empower you to deliver your best work so you can evolve, grow and succeed – today and into tomorrow. We offer an exciting range of opportunities to develop your career within a supportive team who always strive to do the right thing for our people, clients and communities. Work-life balance and flexibility is a key focus area for us. We’re happy to discuss hybrid, part-time and flexible working hours, patterns and locations to suit you and our business.
About the Opportunity: We are seeking a Computational Materials Scientist to join our Advanced Systems & Consultancy Sub-Division of our Technology Division. We have a growing team of materials modellers and are looking for someone to join this high-performing group, who can help us reach our goals of becoming a world leading research centre. This role focuses on the development of mechanistically informed models to predict degradation behaviour in materials. The role requires a preexisting knowledge and skill set in one or more of the following modelling methods: molecular dynamics, density functional theory, kinetic rate theory, CALPHAD or machine learning. The role will utilise these skills to model the behaviour and degradation of reactor core materials, particularly cladding and fuel, and their performance under in‑reactor conditions.
You will join the Structural Integrity and Materials Engineering (SIME) team, with opportunities to collaborate across other teams and broaden your expertise in modelling methods.
Key Responsibilities:- Design and implement atomistic simulations to support mechanistic understanding of materials in extreme environments.
- Support the development of modelling programmes and emergent modelling techniques.
- Analyse data and prepare technical reports to deadlines.
- Collaborate with the experimental teams to inform predictive models.
- Write and review technical reports to deadlines.
- Interface with external stakeholders and contribute to multipartite research programmes.
- Build links with academic institutes and actively scope new research projects.
- PhD (or near completion) in materials science, mathematical modelling, computational chemistry or a related discipline.
- A preexisting knowledge and experience with one or more of the following modelling methods: molecular dynamics (e.g. LAMMPS, GROMACS), density functional theory (VASP, Quantum ESPRESSO), kinetic rate theory, CALPHAD (Thermo-Calc) or machine learning frameworks/tools.
- Basic proficiency in Python for scientific computing and data analysis.
- Solid foundation in handling and analysing large data sets.
- Ability to work collaboratively in a scientific environment.
Our values are built on a strong foundation of safety, integrity, and respect for every individual. People are at the heart of our mission, and we believe in supporting one another through a culture of care and collaboration. We strive to create a workplace where everyone feels they belong and can thrive. Supporting mental wellbeing and fostering a sense of connection are essential to how we work. When we embrace different perspectives and work together, we become more innovative, more agile, and more successful.
We partner with VERCIDA, for greater online accessibility please visit www.vercida.com to view and access our roles. As a Disability Confident employer, we will interview all disabled applicants who meet the minimum criteria for a vacancy. We welcome applications from candidates who are seeking flexible working and from those who may not meet all the listed requirements for a role. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team.
Computational Materials Scientist in Warrington employer: Amentum
At Amentum, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the field of computational materials science. Our supportive work culture prioritises work-life balance and offers flexible working arrangements, empowering you to thrive both personally and professionally. With a strong commitment to employee growth and a focus on ethical excellence, you'll find ample opportunities to develop your skills while contributing to meaningful projects that shape the future of science and sustainability.
StudySmarter Expert Advice🤫
We think this is how you could land Computational Materials Scientist in Warrington
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of computational materials science on platforms like LinkedIn. Join relevant groups, participate in discussions, and don’t hesitate to ask for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your modelling projects, simulations, or any relevant research. This is your chance to demonstrate your expertise in molecular dynamics or machine learning. We recommend having this ready when you get that interview call!
✨Tip Number 3
Prepare for those tricky technical interviews! Brush up on your knowledge of atomistic simulations and be ready to discuss your experience with tools like LAMMPS or VASP. We suggest doing mock interviews with friends or using online resources to practice your responses.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our innovative team at Amentum. So, go ahead and hit that apply button!
We think you need these skills to ace Computational Materials Scientist in Warrington
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Computational Materials Scientist role. Highlight your relevant skills in modelling methods like molecular dynamics or machine learning, and show us how your experience aligns with our goals at Amentum.
Show Your Passion:Let your enthusiasm for materials science shine through! Share specific examples of projects or research that excite you, and explain how they relate to the work we do. We love seeing candidates who are genuinely passionate about making an impact.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to describe your experiences and achievements, and make sure to proofread for any typos or errors. We appreciate well-organised applications!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Amentum
✨Know Your Modelling Methods
Make sure you brush up on the specific modelling methods mentioned in the job description, like molecular dynamics and density functional theory. Be ready to discuss your experience with these techniques and how you've applied them in past projects.
✨Showcase Your Collaborative Spirit
Amentum values collaboration, so be prepared to share examples of how you've worked effectively in teams. Highlight any cross-disciplinary projects you've been involved in, especially those that required input from experimental teams or external stakeholders.
✨Prepare for Technical Questions
Expect technical questions related to materials science and computational modelling. Review key concepts and be ready to explain your thought process when tackling complex problems. Practising with mock interviews can help you articulate your knowledge clearly.
✨Emphasise Your Commitment to Innovation
Amentum is all about pushing boundaries and innovation. Think of instances where you've contributed to innovative solutions or research. Share your passion for making a real impact in the field and how you align with their mission of ethical excellence.
