£12.71 per hour plus £1.53 holiday pay
Advertising End Date
27 Mar 2026

Role & Department Overview

This role is part of an Impact Acceleration Project (IAA) in partnership with Equans UK, a provider of solar farms globally. This project is exploring data-driven ways to perform predictive maintenance on solar assets, and to identify and quantify their reliability. They are also interested in data-driven understanding of how repairable an asset is, as this will feed into their procurement decisions and ensure they foster a 'culture of repair' as part of their sustainability strategy.

You will join a team split across the School of Computing and Communications and Engineering departments. This is a fantastic opportunity for you to develop your data science capabilities, whilst working on a project that will improve the financial viability and sustainability of solar energy. 

During the project you will help the team work towards answering some of the following questions:

  • Can technical data analysis identify which solar assets are easiest to repair?
  • Do solar farm asset managers carry out these repairs, or can we improve the culture of repairability?
  • How does repairability feed into sustainability and resilience?
You will be responsible for analysing technical documents, data, and specifications related to different solar farm assets. Your goal is to understand the repairability (or not) of different types of asset, producing guidance for the project partner on which assets they should procure to maximise the sustainability of their operations.
For this internship you do not need to bring experience working with energy infrastructure, or performing the technical analysis of documents and specifications. We are looking for a highly motivated individual who is looking to build experience working on real-world engineering projects.
In addition to having a beneficial impact on Equans' operations, the team are keen to produce publishable research outputs. You will have the opportunity to feed into this.
 

Pay Rate: £12.71 per hour plus £1.53 holiday pay

Start Date: 1st June 2026

End Date: 31st August 2026

Interview Date: 1st May 2026

Job Description

The candidate employed on this role is expected to:

  • Meet with supervisors, industrial partners and other key stakeholders on a regular basis to discuss project management and technical matters
  • Assist with analysis of technical documents and data to analyse the reliability and repairability of solar farm assets.
  • Support the data scientists on the project with understanding the reliability and repairability of solar farm assets.
  • Provide input to developing conceptual demonstrators of the analysis and monitoring techniques for tools associated with project stakeholders.
  • Contribute to reports highlighting project findings.

Person Specification

The candidate employed on this role is expected to:

  • Have, or be working towards, qualifications with an engineering or related component..
  • Have willingness to develop a technical understanding of the workings and operations of solar farm assets.
  • Meet deadlines associated with the milestones of the project
  • Be able to produce reports, presentations and equivalent documentation to a standard appropriate for distribution with shareholders

Working in this role will help develop the following skills and experience:

  • Collaboration
  • Analysing
  • Commercial Awareness
  • Curiosity
  • Exercising Professional Judgement
  • Knowledge Sharing

You are required to submit a cover letter to support your application. Applications without a cover letter will not be considered.

Please note: Unless specified otherwise in the advert wording, this role is only open to individuals living in the UK.

Under the terms of this work, we endeavour to provide the advertised number of hours however, hours are not guaranteed and that work may cease if there is a fall in demand. 

Adverts that display a closing date should be treated as a guide. We reserve the right to close the vacancy once we have received sufficient applications, so we advise you to submit your application as early as possible to prevent disappointment.

Apply

Help and advice on making applications can be found on the Lancaster University Careers pages. Visit www.lancaster.ac.uk/careers.

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