At a Glance
- Tasks: Advance AI-driven materials simulations and develop machine learning interatomic potentials.
- Company: PhysicsX, a leader in innovative materials research.
- Benefits: Hybrid work setup, competitive salary, and opportunities for mentorship.
- Other info: Dynamic environment with opportunities for career growth and collaboration.
- Why this job: Join a cross-disciplinary team and make a real impact in cutting-edge research.
- Qualifications: Experience in machine learning and computational chemistry is essential.
The predicted salary is between 60000 - 80000 £ per year.
Physics X is seeking a researcher to advance AI-driven materials simulations.
You will develop MLIPs, run large-scale experiments, and push accuracy and transferability across atomistic systems.
You will work with a cross-disciplinary team combining computational chemistry and ML engineering, contributing to production-ready pipelines.
The role involves high-performance computing, collaboration with researchers, and mentoring colleagues as the team expands, within a hybrid setup in the UK. #J-18808-Ljbffr
AI-Driven Materials ML Scientist 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.
