Senior Analytical Design Engineer Reduced Order Modelling FTC
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Job Location:
Monthly Salary:
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Ceres is a global leader in solid oxide technology driving the clean energy revolution. Our steel-supported fuel cell and electrolyser technology gives partners a decade of development advantage accelerating innovation in power generation green hydrogen and distributed power solutions for data centres. Trusted by some of the worlds most progressive companies our proven designs deliver efficient low-cost solutions backed by over 5 million test hours. At Ceres innovation is in our DNA. Join us and be part of a world-class team making a positive impact on the planet.
Purpose of the role
The role 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 reduced order models for cells stacks and systems using physics-based models as well as surrogate and machine learning methods. The aim is to accelerate product and technology development support our existing and new partners and explore new business opportunities. Youll collaborate with cross-disciplinary teams to maximize modelling value across the business.
Key responsibilities include leadership of 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 utilized 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 to a Bachelor Master or PhD level (e.g. Mechanical Automotive Aerospace Chemical & Process Engineering)
Several years of experience in modelling engineering systems with tools like Simscape or Modelica focusing on heat transfer fluid dynamics or electrochemistry
Experience in modelling in tools such as Comsol or Ansys is beneficial
Experience in machine learning and surrogate modelling techniques to accelerate modelling workflows is beneficial
Ability to extract insight from complex data using tools such as Matlab or Python
Deep understanding of analytical design and verification methods and limitations of computational models
Ability to clearly communicate complex concepts to audiences at any level
You have a proactive attitude love challenges and youre a fast learner of new domain knowledge
Key Skills
- Electrical Engineering
- SOC
- PCB
- Warehouse Management
- Warehouse Experience
- CAD
- Creo
- SolidWorks
- Data Mining
- Digital design
- Mechanical Engineering
- Autocad
About Company
Ceres is a leading developer of clean energy technology, specialising in electrolysis for green hydrogen production and fuel cells for power generation.
