Condensed Matter Physicist - DFT & Many-Body Methods

Condensed Matter Physicist - DFT & Many-Body Methods

Full-Time 40000 - 60000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop innovative methods for calculating magnetic properties of materials.
  • Company: Join Diffractive Labs, a leader in material science innovation.
  • Benefits: Collaborative environment with opportunities for high-impact research.
  • Other info: Dynamic team focused on groundbreaking research and methodologies.
  • Why this job: Make a real difference in material science and push boundaries.
  • Qualifications: PhD in condensed matter physics and programming skills in Python.

The predicted salary is between 40000 - 60000 Β£ per year.

Diffractive Labs in Greater London seeks a Condensed Matter Physicist to develop new theoretical and computational approaches for calculating magnetic properties of materials. You will innovate methodologies, collaborate closely with teams, and engage in high-impact research.

The ideal candidate has a PhD in condensed matter physics and proficiency in DFT, computational methods, and programming in Python and compiled languages. Join a dynamic team that's focused on pushing boundaries in material science.

Condensed Matter Physicist - DFT & Many-Body Methods employer: Diffractive Labs

At Diffractive, we pride ourselves on being an exceptional employer, offering a unique opportunity for a DevOps Engineer to shape the future of AI-driven scientific discovery. Our London-based team is composed of world-class engineers and researchers, fostering a collaborative and fast-paced work culture that values innovation and inclusivity. With competitive salaries, generous equity options, and a commitment to employee growth, you'll have the chance to make a meaningful impact while enjoying a flexible work environment.

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Contact Details:

Diffractive Labs Recruitment Team

We think you need these skills to ace Condensed Matter Physicist - DFT & Many-Body Methods

PhD in Condensed Matter Physics
Density Functional Theory (DFT)
Computational Methods
Programming in Python
Programming in Compiled Languages
Theoretical Approaches
Methodology Innovation