The M&D product line is a class leading vendor of sensing devices and systems to Electrical Utilities and Industrial customers. The product line spans sensing of multiple asset types and has a broad portfolio of advanced technology, which aid customers to understand and optimize the operating condition of key assets such as HV/MV power transformers and circuit breakers.
About us
Grid Solutions, a GE Renewable Energy business, serves customers globally with over 12,000 employees. We provide power utilities and industries worldwide with equipment, systems,and services to bring power reliably and efficiently from the point of generation to end power consumers. We are focused on addressing the challenges of the energy transition by enabling the safe and reliable connection of renewable and distributed energyresources to the grid. For more about GE’s Grid Solutions, visit https://www.gegridsolutions.com.
Role responsibilities
- Learn & understand the scientific principles and operation of core sensor technology in GE Transformer monitoring equipment
- Work as part of the core technology team on science-based R&D projects and equipment testing, in current products and/or in new technology developments.
- Conduct product and experimental testing to agreed plans
- Document and present results to management and the wider engineering team
Essential criteria
- completed at least 2 years in Physics or relevant science/engineering related degree and/or equivalent knowledge or experience
- a strong scientific / technical background with interest and /experience in hands-on experimental work.
- the ability to work within a team, or under own initiative
- the ability to understand and present new concepts clearly/effectively (including use of appropriate computer programs)
- strong communication skills, both written and oral.
Desirable Criteria
- Demonstrated experience in hands-on lab-based research work
- Demonstrated experience with spectroscopy and/or optical techniques
- Experience in software programming languages and/or analytical software packages (e.g. Python, C, Matlab) and automation tools (e.g. Labview, Simulink)
- Experience in development and use of scientific/engineering test plans, test equipment and techniques.