Modelling and Simulation Engineer - Energy Systems

Ceres; Horsham; On-site; GBP 60,000 - 85,000; Full time

Job summary

Ceres is seeking a candidate to join the Modelling and Digitalisation department to develop or adapt reduced order models of our technology and apply them to accelerate product and technology development.

You will collaborate with cross-disciplinary teams, deliver on modelling work packages, support IP creation, and ensure models and insights are integrated across the department and wider business.

Qualifications

• Degree in a STEM discipline or equivalent experience.
• Experience extracting insights from complex data using MATLAB or Python.
• Experience with reduced order modelling of engineering systems.
• Understanding of surrogate modelling techniques.
• Ability to communicate complex concepts clearly.
• Proactive, fast learner who solves complex problems.

Responsibilities

• Deliver reduced order modelling work packages.
• Collaborate across internal and customer-facing projects to solve problems.
• Support intellectual property creation.
• Ensure models and insights are used across the modelling tools and department.

Skills

Data analysis

Reduced order modelling

First-principles modelling

Machine learning basics

Communication skills

Education

STEM degree

Tools

MATLAB

Python

Job description

Ceres is a global leader in solid oxide technology, driving the clean energy revolution. Our steel‑supported fuel cell and electrolyser technology provides partners with a decade of development advantage, enabling faster innovation across power generation, green hydrogen, and distributed power solutions for data centres and industry. At Ceres, innovation is part of who we are. Join us and become part of a world‑class team making a meaningful and positive impact on the planet.

Purpose of the role

The position sits within the department of Modelling and Digitalisation, a team of highly skilled modelling engineers, data scientists, and data engineers. The department specialises in multi-domain computational modelling, specialist data analysis, and the development of bespoke data products and cloud data platform solutions.

The role is focused on developing or adapting reduced order models of Ceres technology and then applying these to accelerate product and technology development, support existing and new partners, and explore new business opportunities. Specifically, you will be regularly exploring different applications, concepts, and ideas and assessing viability, from both the engineering performance and techno-economic perspectives. You will collaborate with a wider cross-disciplinary teams to maximise modelling value across the business.

Key responsibilities include delivering to different reduced order modelling work packages, collaboration across internal and customer-facing projects to solve challenging problems and support for intellectual property creation. You will also be responsible for ensuring that your models and insights are utilised across our full chain of modelling and digital tools within the department and the wider company.

Knowledge and skills required for the role:

• Degree qualified in a STEM discipline, or comprehensive experience demonstrating the below requirements
• Experienced in extracting insight from complex data using tools such as Matlab or Python
• Experienced in reduced order modelling of engineering systems and developing first-principles models of system components (core areas of interest are heat transfer, fluid dynamics, electrochemistry, and techno-economic analysis)
• Basic understanding of machine learning and surrogate modelling techniques to accelerate modelling workflows
• Basic understanding of analytical design and verification methods, and limitations of computational models
• Experienced in clearly communicating complex concepts to audiences at any level
• Above all, you have a proactive attitude, you love solving complex problems, and you’re a fast learner of new domain knowledge