Research Scientist: AI for Physics & Engineering (Hybrid)

PhysicsX Ltd; City of Westminster; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

A deep-tech company is seeking a machine learning researcher to work on AI-driven simulation software for engineering challenges. You will collaborate with engineers to develop predictive models and communicate findings. Ideal candidates have a PhD in relevant fields and experience in machine learning with strong problem-solving skills. This role offers a hybrid work setup and various employee benefits including equity options, flexible working, and comprehensive healthcare.

Benefits

Equity options

10% employer pension contribution

Free office lunches

Flexible working

Hybrid setup

Enhanced parental leave

Private healthcare

Personal development

Work from anywhere

Qualifications

• Enthusiasm for using machine learning in scientific contexts.
• Ability to deliver machine learning projects effectively.
• Experience in data-driven roles for >2 years.
• Publication record in reputable venues like NeurIPS or ICML.

Responsibilities

• Translate engineering challenges into mathematical problem formulations.
• Build predictive models for physical systems using machine learning.
• Collaborate to translate models into production-ready code.
• Communicate work results to peers and customers.

Skills

Machine learning

Deep learning

Problem-solving

Collaboration

Communication

Education

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

Tools

Python

NumPy

SciPy

Pandas

PyTorch

JAX

Job description

A deep-tech company is seeking a machine learning researcher to work on AI-driven simulation software for engineering challenges. You will collaborate with engineers to develop predictive models and communicate findings. Ideal candidates have a PhD in relevant fields and experience in machine learning with strong problem-solving skills. This role offers a hybrid work setup and various employee benefits including equity options, flexible working, and comprehensive healthcare.