EDF has an R&D centre in the UK with around 50 researchers in situ. The centre is an integral part of the EDF Group R&D network and works across the whole value chain of electricity; successfully leading on millions of pounds worth of international projects. Find out more.

EDF Research and Development (R&D UK) works in partnership with a number of universities across the UK. They offer research opportunities, giving students the chance to develop their academic qualifications; Doctor of Philosophy (PhD) and Engineering Doctorate (EngD), whilst gaining industrial experience within one of the onsite teams. 

New PhD studentship in AI Methods for Energy Demand Data

EDF is part-funding a PhD in collaboration with UCL, which will explore and develop novel Artificial Intelligence algorithms that extract valuable insights from smart meter data. 

The Energy Sector is undergoing a digital transformation that is producing data at a scale and resolution never before seen by the industry. Making best use of this data is vital to decarbonising the sector. The nationwide deployment of smart meters, which record high resolution electricity consumption data, will produce a vast amount of data on customer energy demand. In order to handle the scale and complexity of this data Artificial Intelligence methods are required that can intelligently extract patterns and insights on the behaviour driving energy consumption. Enhancing our understanding of the factors driving patterns of behaviour will yield new demographics of energy consumption.

The start date for this PhD is January 2021.


The AI Methods for Energy Data PhD is open for applications until 7th December 2020.

Why join us?

• Chance to innovate on behalf of our customers, developing sophisticated, real-world tools and processes,

• Help to build new partnerships, strengthening our position in Europe and developing robust low-carbon energy solutions.

What we're looking for

  • A bachelor’s degree with a minimum of upper second-class (2:1) honours, or an overseas qualification of an equivalent standard.
  • A Masters degree in statistics, engineering, computer science or other relevant disciplines.  Candidates without a Masters degree may be admitted where suitable experience is demonstrated.
  • Expert knowledge of machine learning and artificial intelligence methods.
  • An understanding of the energy system and the role of suppliers
  • Excellent numerical and computing skills.
  • Excellent interpersonal and communication skills (oral and written).

Where could it take you?

Claire Canning’s experience: Clare joined the R&D UK Renewables team on a placement within her Engineering Doctorate.

Read here about how her time within R&D UK helped her to build her confidence. 


Your time will be split between our EDF offices in Hove and UCL (University College London).

Rewards and benefits

As the students taking up these research positions will be employed by a university, the pay rates and benefits will depend on that offered by the university, and also will change from opportunity to opportunity. Interested students would need to check each individual opportunity to receive further details on the remuneration.


The AI Methods for Energy Data PhD is open for applications until 7th December 2020.