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Physics-Informed AI/ML Research Scientist — Design & Simulation

PowerToFly

England

On-site

GBP 40,000 - 60,000

Full time

2 days ago
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Job summary

A leading design software company in the UK is seeking experienced Research Scientists to advance physics-informed AI algorithms. You'll collaborate with a multi-disciplinary team and contribute to innovative design and engineering tools. Ideal candidates will hold an advanced degree in a relevant field, possess strong computational physics knowledge, and have significant experience with machine learning. You will be expected to publish findings and work closely with product teams to integrate research into real-world applications.

Benefits

Health/Dental/Vision/Life Insurance
Work-Life Balance
Paid volunteer time off
6 week paid sabbatical every 4 years
Employee Resource Groups
A 'week of rest' at year's end

Qualifications

  • Strong publication history in relevant conferences and journals.
  • Experience creating and training machine learning models at scale.
  • Ability to articulate how physics-informed AI methods relate to numerical methods.

Responsibilities

  • Research and implement physics-informed AI algorithms.
  • Design and build AI workflows and data pipelines.
  • Consult with product teams on research implementation.

Skills

Computational physics
Machine learning
AI algorithms
Python
C++
Communications skills

Education

Advanced degree in Computer Science, Engineering, Physics, or Applied Mathematics

Tools

PyTorch
TensorFlow
Flax
Job description
A leading design software company in the UK is seeking experienced Research Scientists to advance physics-informed AI algorithms. You'll collaborate with a multi-disciplinary team and contribute to innovative design and engineering tools. Ideal candidates will hold an advanced degree in a relevant field, possess strong computational physics knowledge, and have significant experience with machine learning. You will be expected to publish findings and work closely with product teams to integrate research into real-world applications.
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