Electrical Engineering Manager

Recruiter
Faraday Grid
Location
Edinburgh
Salary
Competitive
Posted
22 Jun 2017
Closes
20 Jul 2017
Contract Type
Permanent
Hours
Full Time
Job Description

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 facilitating 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.

Your Role

A new R&D engineering team is being established to complete this project along with the existing core team. As the team leader of the electrical and hardware aspects of the project you will be ultimately responsible for the entire team, design and delivery of all physical design aspects of the project, all the way through to full commercialisation.

In this role you will:

  • Provide direction and leadership to all members of the team on research, requirements development
  • Manage scope and schedule for the project through a dynamic functional requirements process
  • Facilitate research and development operations to enable optimum productivity for your team
  • Review and sign off on documentation including research papers, design documents, and test plans
  • Interact with clients and partner companies/institutions
  • Utilise design by rationalised constraint
  • Undertake scientific research and data acquisition to inform design pathway opportunities
  • Complete sophisticated conceptual design based on functional and non-functional requirements
  • Use advanced simulation tools to produce high fidelity models of electromagnetic and electronic systems, both static and dynamic
  • Undertake lab based testing of physical hardware
  • Design and implement algorithms for evolutionary design
  • Analyse test data and iterate design schematics for improvement
  • Work on collaboration projects with partner universities in UK, US and Australia

Skills

  • Power systems and electrical knowledge and design ability
  • Requirements analysis
  • Static and dynamic simulation modelling and analysis
  • Demonstrated knowledge and expertise of the application of systems engineering
  • Advanced systematic and logical problem solving skills.
  • Engineering elegant solutions to allow us to process large amount of data on tight timescales
  • Knowledge of various software platforms including SPICE and ANSYS is desirable
  • An understanding of agile practices

Competencies (traits and attributes)

  • Reliably manage scope and schedule
  • Lead and empower team to accomplish targets and goals
  • Considered and rational thinker
  • Open-minded and creative problem solver

Relationships (reporting lines)

Electrical Project Team Leader reporting directly to the CTO.

Salary Range

Commensurate with experience

GBP80,000 - GBP90,000 guide

Required Experience

  • BEng / BSc Degree in Electrical Engineering, Power Systems, Physics or equivalent
  • 8+ years experience in industry (or academic research) fields related to electrical and power systems
Company Description 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.

Background

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.

Our Approach

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.