Research Scientist - Material Modelling

Research Scientist - Material Modelling

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Physicsx

At a Glance

  • Tasks: Conduct cutting-edge research in material modelling and develop innovative simulation software.
  • Company: Join PhysicsX, a deep-tech company revolutionising hardware innovation with AI.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on creativity and collaboration.
  • Why this job: Be at the forefront of technology, shaping the future of engineering and manufacturing.
  • Qualifications: Strong background in physics or engineering and experience in material modelling.

The predicted salary is between 60000 - 80000 £ per year.

About Us Physics X is a deep‑tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.

We are building an AI‑driven simulation software stack for engineering and manufacturing across advanced industries.

By enabling high‑fidelity, multi‑physics simulation through AI inference across the entire engineering lifecycle, Physics X unlocks new levels of optimization and automation in design, manufacturing, and operations – empowering engineers to push the boundaries of possibility.

Our customers include leading innovators in Aerospace

Research Scientist - Material Modelling employer: Physicsx

At PhysicsX, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our team thrives in a flat structure where every voice is valued, and we offer meaningful benefits such as equity options, generous parental leave, and a commitment to personal development. Located in Shoreditch, our hybrid work model allows for a sustainable work-life balance while tackling impactful challenges in AI-driven engineering.

Physicsx

Contact Details:

Physicsx Recruitment Team

We think you need these skills to ace Research Scientist - Material Modelling

Numerical Physics
AI-driven Simulation
Multi-Physics Simulation
Engineering Lifecycle Management
Hardware Innovation
Optimisation Techniques
Automation in Design