Principal Research Scientist, Physics AI — Equity & Hybrid Work

PhysicsX; City Of London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Equity options

10% employer pension contribution

Free office lunches

Enhanced parental leave - 3 months pty

YellowNest nursery scheme

25 days annual Leave

Private medical insurance

Wellhub Subscription

Eye tests

Personal development

Employee Assistance Programme (EAP)

Bike2Work scheme

Octopus EV salary sacrifice

Job summary

PhysicsX in the United Kingdom is hiring a PhD-level ML researcher to lead research streams translating physics and engineering challenges into mathematical models. You will work with ML engineers, simulation engineers, and customers to deploy production-ready models that advance physics AI across the engineering lifecycle.

The role emphasizes building state-of-the-art models, publishing results, and collaborating across teams in a hybrid Shoreditch-based setup with opportunities for global

Qualifications

• PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering with expertise in probabilistic methods for PDEs or neural operators.

Responsibilities

• Own research work-streams and set the technical direction for the stream.
• Plan roadmaps with milestones and communicate progress to stakeholders.
• Guide junior team members to deliver against the roadmap.
• Translate physics and engineering challenges into mathematical formulations.
• Build models to predict behavior of physical systems using state-of-the-art ML/DL.
• Collaborate with ML engineers, simulation engineers and customers to deploy production-ready code.
• Publish findings and present at academic and industry venues.

Skills

Deep learning

Probabilistic methods

Problem solving

Communication

Python

Education

PhD in computer science, machine learning, applied statistics, physics, engineering

Tools

PyTorch

CUDA

NumPy/SciPy

JAX

Job description

PhysicsX in the United Kingdom is hiring a PhD-level ML researcher to lead research streams translating physics and engineering challenges into mathematical models. You will work with ML engineers, simulation engineers, and customers to deploy production-ready models that advance physics AI across the engineering lifecycle.

The role emphasizes building state-of-the-art models, publishing results, and collaborating across teams in a hybrid Shoreditch-based setup with opportunities for global