Job Description

###

Description

We have an opportunity for an experienced Control Algorithm Engineer to join our established Research team, based in Edinburgh.

This role will focus on the analytical work of ENODA's hardware control algorithms, ensuring robustness and scalability whilst enhancing their capabilities.

Who we are

Energy is the primary input to everything. Our continued prosperity is dependent on reliable, affordable, clean electricity.

ENODA is an innovator in energy platforms, developing advanced technologies for grid operators and developers that remove constraints to decarbonisation.

Integrated hardware and software solutions slot into existing infrastructure, enabling the grid to become self-balancing and the primary provider of system stability.

We are a mission-driven organisation committed to enabling humanity to prosper on 100% renewable energy. We are averse to introducing bureaucracy and are building a working culture that enables us to achieve our purpose and change the world.

Check out the ENODA YouTube channel to learn more about us.###

You'll spend your time:

Analysing physical systems from first principles and synthesising of novel, practical solutions Turning your insights into measurable and scalable improvements of the system Deepening your understanding of electromagnetic systems, power electronics, control strategies, and code generators Verifying your analysis in collaboration with the simulation and production teams Thoroughly documenting your analysis, reasoning, simplifications, and engineering trade-offs
###

The key experience we're looking for:

Strong foundations in electrical engineering and engineering math A good understanding of control theory The ability to assess sources of errors in an implementation, e.g., sensor drift, floating point arithmetic, or spectral bleeding An understanding of real-time embedded systems and their underlying hardware Ability to describe and explain your work to a wider audience Intellectual curiosity and comfortable asking probing questions when necessary

The following would be advantageous:

Experience of electrical network analysis in the time and frequency domains Familiarity with symbolic math software like Mathematica A keen interest in broadening your understanding of all areas that can lead to improvements in performance, reliability, efficiency and manufacturability


###

What we offer:

Salary: 60,000 - 70,000 dependent on skills & experience Private Medical Insurance Flexible Pension policy tailored to your requirements 33 days annual leave + Holiday purchase/sell scheme Dental cash-back scheme Cycle-to-Work scheme Season travel ticket loan Enhanced company sick pay & Income Protection Life Assurance
This role is based onsite at Quartermile in Edinburgh.###

About ENODA

ENODA is cultivating an environment where we embrace our vision of sustainable prosperity for everyone. Built on the principles of win-win outcomes and extreme ownership, we strive to act with integrity and be accountable.



Teams are encouraged to be relentless in the pursuit of scientific truth; we strive on the challenge of solving the most complex problems together.