Graduate Computational Materials Scientist

UK Atomic Energy Authority; Clifton Hampden; Sur place; GBP 25 000 - 35 000; Plein temps

Avantages offerts par ce poste

Final salary defined benefit pension (

25 days annual leave + holidays + priv

Flexible working options

Skern Lodge residential

Résumé du poste

UK Atomic Energy Authority (UKAEA) invites graduates to join its Computing division in the Materials Simulation group within the Graduate Development Programme. You'll work with world-leading experts to advance fusion technology and build technical, professional, and leadership skills for a successful career.

This role blends theoretical modelling with practical computing, offering training, placements, and a supportive, inclusive culture.

Qualifications

• Degree in physics, engineering, materials science, computing, mathematics, or related discipline.
• Strong mathematics aptitude and interest in theoretical modelling.
• Interest in scientific computing and willingness to learn Python.
• Able to collaborate and communicate clearly with technical and non-technical audiences.
• Well organized with ability to plan and prioritise workload.

Responsabilités

• Learn to apply advanced computational methods to study materials under fusion conditions.
• Contribute to development of multiscale models from atomistic to data-driven approaches.
• Deliver project work, manage tasks, and communicate progress to stakeholders.
• Participate in UKAEA Graduate Scheme and support outreach and early careers initiatives.

Connaissances

Math aptitude

Programming interest

Collaboration

Organization

Formation

Physics/Engineering/Materials Science/Computing/Mathematics

Outils

Python

Description du poste

UK Atomic Energy Authority (UKAEA) invites graduates to join its Computing division in the Materials Simulation group within the Graduate Development Programme. You'll work with world-leading experts to advance fusion technology and build technical, professional, and leadership skills for a successful career.

This role blends theoretical modelling with practical computing, offering training, placements, and a supportive, inclusive culture.