UK | Full-time | On-site

About the Role
We are seeking a Physics-Informed Machine Learning Researcher to join a global leader in technology and innovation. This is an exciting opportunity to be part of a new and expanding team at the forefront of combining AI and scientific computing. You will develop cutting-edge AI methods for physics-informed modeling and simulation, with applications in molecular and material simulations.

If you’re a researcher with a deep understanding of both AI and scientific domains like physics or chemistry, and you’re passionate about creating innovative solutions, this is your chance to make an impact.

Key Responsibilities

• Develop state-of-the-art physics-informed machine learning techniques, focusing on atomistic simulations of molecules and materials.
• Implement proof-of-concept code and demonstrations to present innovations to internal and external stakeholders for feedback.
• Stay updated on advances in related fields like computational fluid dynamics, structural analysis, and weather modeling.
• Acquire domain-specific knowledge to effectively collaborate with experts in physics and chemistry and tailor AI methods to specific challenges.
• Generate intellectual property (IP) and publish findings in top academic journals and conferences.

Key Requirements
Technical Expertise:

• Experience in applying physics-informed ML techniques for atomistic simulations, including machine-learning force fields.
• Proficiency in programming languages, particularly Python, and experience with deep learning frameworks like PyTorch.
• Knowledge of scientific computing and numerical methods for simulation is a plus.

Academic Background:

• A Ph.D. in Computer Science, Physics, Chemistry, or a related field, with a focus on AI and simulation.
• A strong track record of academic publications in relevant fields.

Skills & Competencies:

• Strong understanding of AI-centric molecular dynamics or other simulation techniques.
• Excellent written and verbal communication skills.
• Familiarity with high-performance computing (HPC) or parallel computing is desirable.

Preferred Skills (a plus):

• Experience applying physics-informed ML to other fields like computational fluid dynamics, structural analysis, or weather modeling.
• Prior exposure to scientific computing platforms and frameworks.

What’s Offered

• Competitive Compensation: Salary tailored to experience and qualifications.
• Visa & Relocation Assistance: Comprehensive support for candidates moving to the United Kingdom.
• Innovative Environment: Be part of a new and expanding team working on groundbreaking AI and simulation projects.
• Global Exposure: Collaborate with a team of experts in Europe and Japan, working on research topics of global interest.
• Professional Growth: Opportunities to publish research, attend international conferences, and contribute to cutting-edge innovations.

Who We’re Looking For
We’re seeking an individual who bridges the gap between AI and scientific domains, with a focus on molecular simulations and computational physics. Whether you’re a seasoned researcher or a recent Ph.D. graduate, your passion for combining machine learning with domain-specific knowledge is what matters most.