Position Title | Systems Engineer
Location: Edinburgh UK
Faraday Grid Overview
Our company is dedicated to systems design that enables human choice because we believe human prosperity can only be sustained through increasing individuals' freedom to choose.
Faraday Grid was formed from the desire to solve global challenges facing our society and environment.
Specifically, with innovation in deep tech, we are revolutionising energy distribution systems.
We are seeking engineers, mathematicians, and physicists who want take up the opportunity to make a truly significant and unique contribution to a sustainable energy system, to join our R&D team.
Faraday Grid is commercialising an innovation materially addressing the energy trilemma by faciltating a once in 137 year change to the current electricity grid architecture. The technology has been proven and a new R&D facility and team is being established in Edinburgh to complete the optimisation and commercialisation process. This will be done in collaboration with existing commercial and academic partners.
A new R&D engineering team is being established to complete this project along with the existing core team. As a member of this team with a focus on control systems you will contribute to the design and delivery process of all monitoring, processing, software and control aspects of the project, all the way through to full commercialisation.
In this role you will:
- Utilise Design by Rationalised Constraint
- Scope and design hardware systems for monitoring and control
- Scope, design and document test plans
- Design and implement advanced control algorithms for complex systems
- Integrate systems including commercial off the shelf equipment with custom hardware
- Undertake lab based testing of systems against simulations and hardware devices
- Field test prototypes and interact with partner companies
- Work collaboration projects with partner universities in UK, US and Australia
- Demonstrated knowledge and expertise of the application of systems engineering
- Engineering elegant solutions to allow us to process large amount of data on tight timescales
- Programming experience in multiple object-oriented or functional languages
- Ability to work with highly complex, scalable code
- Software unit testing and integration testing
- Static and dynamic simulation modelling and analysis
- Knowledge of PLC and SCADA systems and languages is desirable
- Team player, reliable
- Innovative and creative
- Rational thinker
- Open minded problem solver
Relationships (reporting lines)
As part of Faraday Grid R&D team, reports to Project Team Leader, who reports directly to the CTO.
- Commensurate with experience
- £40,000 - £60,000 guide
- BEng / BSc Degree in Electrical / Mechatronic / Systems Engineering, Computer Science or equivalent
The Faraday Grid is the next generation in electricity networks. It allows a more efficient use of electrical energy from generation through to consumption by addressing the issue of volatility from generation sources. Asynchronous and non-dispatchable sources directly alter the nature of the network and introduce instability and inefficiency. It helps to resolve the irreconcilable tension between targets for greater renewable energy integration and the demand for reliable affordable energy.
The Faraday Grid utilises a revolutionary new technology in the Faraday Exchanger. When distributed throughout the electricity network, each Faraday Exchanger dynamically controls the power flow within its region autonomously. This allows a higher penetration of renewable energy sources and maximizes grid efficiency and energy utilization by rapidly modulating power flow to reduce noise and maintain an efficient power factor. It is an entirely new device combining several established electrical engineering principles from different fields enabling the network to continuously operate at its peak efficiency.
It is a disruptive technology of system-wide significance, and yet one that is designed to be deployable incrementally on a replacement basis. As such, the transformation is analogous to the transition of the telephone system into the internet.
The approach we take to develop our technology is guided by Design by Rationalised ConstraintTM. This is a rigorous and exhaustive process that identifies the optimal design for a system according to the specific complex of constraints applicable to a particular intention and operation. By dynamically simulating constraints and their relationships it is possible to explore complexity and network effects and understand design implications and consequences. The intention of Design by Rationalised Constraint is to achieve a state of optimality closest to the opportunity defined by those knowable constraints that are in operation for the system of interest.
Matthew Williams | Chief Technology Officer