An exciting opportunity has arisen for a Computational Scientist for an industry leading materials manufacturer to join their state-of-the-art facilities in Cambridge. As a Computational Scientist you be responsible for understanding and predicting the chemical and physical properties of material and chemical reactions to assist in new material and chemical selection, manufacturing and process problem identification and new product development.
To be considered for this Computational Scientist position you be degree qualified in Chemistry, Computational Chemistry, Physics or closely related subject - ideally at PhD level. You will also have a strong understanding of various computational tools used to understand chemicals and materials properties and behaviours. Someone with a background in programming or scripting using tools such as Python would also be highly desirable.
This is an excellent opportunity to join a world-class manufacturing team, offering excellent career prospects, salary and company benefits.
- Work closely with R&D teams and researchers to solve problems through the use of computational materials simulations.
- Design various materials and chemical computations experiments to assist in problem solving process and development issues.
- Report computational findings internally via reports and presentations.
- Use computational date to assist in new chemicals and material selection.
- Contribute to the development and running of computational materials simulations.
- Expand modelling capability to various internal departments including R&D including providing training when required.
Knowledge and Experience
- Degree qualified in Chemistry, Computational Chemistry, Physics or closely related subject - ideally you will be PhD educated.
- Proven experience in using various computations tools to understand materials reactions; Quantum Chemistry, Molecular Mechanics & Dynamics, Multiscale inclusive.
- A background in programming or scripting using tools such as Python would also be highly desirable.
- Previous use of statistical computing and graphics environments for data analysis.