Power Systems R&D Engineer

As a Power Systems Research and Development Engineer in Camlin, you will work within a multi-disciplinary team of electrical and software engineers, and data scientists to deliver innovative solutions to support distribution network operators’ (DNOs) business needs. You will study the network behaviour in detail, and develop and implement novel solutions to, for example, identify and diagnose issues on the network, or optimise capacity in the network assets.

• Act as a subject matter expert on UK distribution power systems within multidisciplinary project teams.
• Communicate methodologies clearly to the teams responsible for their implementation.
• Create, validate and maintain power systems network models, alongside documentation of associated methodologies, where required.
• Design, develop, document and test robust, efficient and novel algorithms to meet project requirements, consulting appropriate literature when required.
• Analyse field data to validate, troubleshoot and enhance the models and algorithms.
• Manage time and priorities across projects, notify stakeholders of progress against plans and adapt readily to dynamic business priorities

• Ability to generate their own novel solutions or to use, adapt and give credit to others’ solutions when appropriate.
• Strong and proven numerical analysis skills, engineering mathematics and statistics.
• Strong understanding of electric power distribution, electrical load behaviours, and the modelling of time-series demand/distributed generation patterns.
• Degree in Electrical Power Systems/Electrical/Electronic Engineering or equivalent numerate discipline.
• Proven ability to solve complex problems using creative solutions.
• Experience of performing steady-state and/or transient power systems studies, e.g. load flow, short-circuit fault analysis and/or switching studies.
• Conscientious individual demonstrating attention to detail along with high levels of ownership and commitment.
• To have the ability to work alone, in close collaboration with one or two others, or as part of a larger multi-disciplinary team.
• A genuine passion for algorithm development, science and engineering.
• Demonstrate self-motivation to develop new skills and improve own working practices based on constructive feedback from peers.
• Excellent verbal, written and graphical communication skills.

• Competitive salary
• On-site parking
• Subsidised Gym Membership
• Hybrid Working
• Company Pension & Life Assurance Schemes