National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Researcher - Physics Informed ML

MBN Solutions
London
5 months ago
Applications closed

Related Jobs

View all jobs

Researcher/Senior Researcher in Computer Vision and Machine Learning

Senior Research Scientist: Data Science and Machine Learning AIP

Senior Machine Learning Researcher - Sports Betting/Trading

Senior Associate AI Researcher - Natural Language Processing

Senior Data Scientist (onsite role)

Senior Machine Learning Engineer (Brahma)

Senior Researcher - Physics Informed Machine Learning

1 day per week in the office outside of London - could be less if required

Up to £60,000 + bonus


MBN Solutions have been retained by our client who are well respected in the field of research to help them bring on board a Senior Researcher specialising in Physics Informed Machine Learning.


You will be working on exploring how to use Machine Learning in Scientific Computing related applications and we have a strong preference for the development of AI techniques that can be applied in the real world and that directly contributeto social good.


The Job:

  • The development of new state-of-the-art of physics-informed machine learning techniques focused on atomistic simulation of molecules and materials
  • Implementation of these techniques into proof-of-concept code and demonstrations that can be used to present our innovation to internal and external stakeholders and get their feedback
  • Monitoring the wider area of physics-informed machine learning in order to be up to date with advances in other fields such as computational fluid dynamics or weather prediction
  • Acquiring domain specific knowledge in target application areas, that will enable you to both communicate with people in that field and to develop AI methods that can contribute to it
  • Generating IP and publishing work in top academic conferences and journals


The Person:

  • Pro-active in your approach, adaptable and able to demonstrate that you have experience with applying physics-informed machine learning techniques for surrogate modelling for atomistic simulations, such as machine-learning force fields
  • High proficiency in one or more programming languages(Python preferred) and experience with one or more Deep Learning framework (PyTorch preferred)
  • A track record of writing academic publications
  • Excellent written and verbal communication skills
  • Experience with high-performance computing (HPC) or parallel computing
  • Application of physics informed machine learning for other scientific computing fields such as computational fluid dynamics, structural analysis or weather modelling
  • Experience with scientific computing and numerical methods for simulation
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.