At a Glance
- Tasks: Design atomistic simulations and collaborate on innovative materials research.
- Company: Join a leading research centre in advanced materials science.
- Benefits: Flexible working hours, hybrid options, and a focus on work-life balance.
- Other info: Opportunities for collaboration and career growth in a dynamic environment.
- Why this job: Make a real impact in cutting-edge materials research and development.
- Qualifications: PhD or near completion in relevant fields and experience with modelling methods.
The predicted salary is between 40000 - 50000 £ per year.
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.
Here’s What You’ll Need
- 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.
Work-Life Balance
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. 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 employer: Amentum
Join a forward-thinking team as a Computational Materials Scientist, where your expertise will contribute to groundbreaking research in materials modelling. Our commitment to work-life balance and flexible working arrangements ensures that you can thrive both professionally and personally. With ample opportunities for collaboration and growth within our advanced technology division, you'll be part of a dynamic environment that values innovation and inclusivity.
StudySmarter Expert Advice🤫
We think this is how you could land Computational Materials Scientist
✨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 and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your modelling projects, especially those involving molecular dynamics or machine learning. This will give you an edge during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of atomistic simulations and data analysis. Practice explaining your past projects and how they relate to the role you're applying for, as this will help you stand out.
✨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, it shows you’re genuinely interested in joining our team and contributing to our goals.
We think you need these skills to ace Computational Materials Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with the specific modelling methods mentioned in the job description. We want to see how your skills align with our needs, so don’t be shy about showcasing your expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about computational materials science and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Collaborative Spirit:Since collaboration is key in our work environment, make sure to mention any past experiences where you worked with others on projects. We’re looking for team players who can communicate effectively with both experimental teams and external stakeholders.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
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 or 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
This role involves working closely with experimental teams, so highlight any previous collaborative experiences. Share examples of how you’ve successfully worked in a team setting and contributed to joint projects, especially in a scientific environment.
✨Prepare for Technical Questions
Expect some technical questions related to your field. Review key concepts and be prepared to explain your thought process when designing simulations or analysing data. Practising with a friend or mentor can help you articulate your ideas clearly.
✨Demonstrate Your Passion for Research
Show enthusiasm for the research aspect of the role. Discuss any relevant projects or papers you’ve worked on, and express your interest in contributing to new research initiatives. This will help convey your commitment to becoming part of their high-performing team.
