Camlin Group
Power Systems R&D Engineer
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Power Systems R&D Engineer
Power Systems Research and Development Engineer – Job Description
Company Description
Camlin is a global technology leader dedicated to innovating revolutionary products across industries such as power and rail, alongside cutting-edge R&D in scientific sectors.
With a commitment to high-quality engineering and design, our team delivers market-leading products and services, solving complex problems for customers worldwide. Camlin operates in over 20 countries, driving value through collaboration and expertise.
About the Role
As a Power Systems Research and Development Engineer at Camlin, you will contribute to a multi-disciplinary team blending electrical engineering, software development, and data science.
Your core responsibilities include:
- Conducting in-depth analysis of distribution network behaviour
- Developing and implementing novel algorithms to enhance network operations
- Improving network model accuracy through data validation and algorithm optimisation
- Supporting distribution network operators (DNOs) with intelligent solutions such as issue diagnosis and asset optimisation
- Advocating expertise in UK power systems within cross-functional teams
Key Responsibilities
- Create, validate, and maintain power systems network models, including documentation of methodologies
- Design, develop, test, and document robust, efficient algorithms to meet project objectives
- Analyse field data for model refinement, troubleshooting, and performance enhancement
- Act as a subject matter expert on UK distribution systems within project teams
- Communicate technical methodologies clearly to implementation teams
- Manage project timelines, priorities, and stakeholder updates while adapting to changing demands
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Essential Criteria
- Degree in Electrical Power Systems, Electrical, Electronic Engineering, or an equivalent numerate discipline
- Strong understanding of electric power distribution, including load behaviours, time-series demand analysis, and distributed generation patterns
- Proven experience in steady-state/transient power systems simulations, for example:
- Load flow studies
- Short-circuit fault analysis
- Switching studies
- Advanced numerical analysis, engineering mathematics, and statistics expertise
- Creative problem-solving to address complex technical challenges
Desired Criteria
- Master’s or PhD in Electrical Power Systems, Electrical, or Electronic Engineering
- At least 2 years’ industry experience in power systems or relevant engineering
- Deep knowledge of the UK distribution sector, spanning EHV, HV, and LV levels
- Familiarity with power systems analysis tools, including:
- PandaPower
- NEPLAN
- WinDebut
- IPSA
- PSCAD
- Awareness of UK distribution network challenges, such as large plant/embedded generation connections
- Understanding of industry standards and Distribution Code (ERECs)
- Python development background and experience
- Knowledge of signal processing techniques for conditioned data analysis
- Software development principles, including version control (e.g., Git, SVN)
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Personal Attributes
- Detail-oriented, responsible, and committed to excellence
- Ability to work independently, collaboratively, or within multi-disciplinary teams
- Innovative thinker—skilled at adapting or independently creating solutions
- Strong work ethic with prioritisation within tight deadlines
- Self-motivated to develop skills through feedback and continuous improvement
- Clear communication skills (verbal, written, and graphical)
- Passion for algorithm development, science, and engineering
Benefits
Camlin offers an outstanding work environment with:
- Competitive salary
- Comprehensive Company Pension & Life Assurance Schemes
- On-site parking
- Hybrid working flexibility
- Subsidised gym membership
Equal Opportunity Statement
Camlin is an equal opportunity employer. We welcome applications regardless of race, colour, religion, national origin, age, sex, marital status, ancestry, physical/mental disability, gender identity, or sexual orientation.
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