AEON Energy
STEM grant writing Intern
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About the Job
We are hiring: STEM Grant Writing Assistant
Employment Type: Part-Time Freelance/Contractor Role (Expected time commitment: 10–15 hours per week initially, with the possibility of increasing to 20-30 hours per week if the collaboration works well)
Working Pattern: Remote/Hybrid
Pay: Starting at the London Living Wage, with the opportunity to earn up to £16.28 per hour (+10% above living wage), depending on performance.
Applications are only reviewed through the Microsoft form. LinkedIn Easy Apply / CV-only applications will not be considered.
About Us
AEON Energy builds, finances and operates distributed energy systems in markets where conventional energy companies often struggle to execute, combining solar and storage projects with cutting-edge software and IoT solutions.
What you will work on
We are looking for a current STEMM student or recent graduate to work alongside our technical and commercial teams on grant and tender applications.
The immediate assignment will be to support a public funding grant application focused on renewable energy and data intelligence. The role may also involve identifying suitable future funding and tender opportunities for AEON.
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Key Responsibilities
- Draft grant and tender application documents with AEON’s technical team
- Research relevant technologies, markets and supporting evidence
- Identify suitable grant, funding and tender opportunities
- Translate complex technical ideas into clear, persuasive writing
- Coordinate revisions with the technical and commercial teams
Who we’re looking for
- Current STEM student or recent graduate
- Strong written English and research skills
- Ability to explain complex scientific or engineering concepts clearly
- Interest in AI, software, renewable energy or smart grids
- Able to work independently and meet tight deadlines
Applicants must be available from 27 July through to the internal grant deadline of 24 August 2026 to work on drafting and iterative revisions.
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Application Writing Task – Submit through the Microsoft Form
Choose one topic and explain it to a non-technical audience in no more than 200 words:
- Why can an AI system be highly accurate but still make a poor decision?
- How do engineers design systems for rare but potentially catastrophic events?
- How do scientists decide whether a result is a genuine discovery or random chance?
- Why can a material that performs well in a laboratory fail in real-world conditions?
- How does antibiotic resistance develop, and why is it difficult to control?
Applicants may use ChatGPT or other AI tools, but must understand their final response and be prepared to discuss it during the interview.
Applications will only be reviewed through the Microsoft application form. LinkedIn Easy Apply and CV-only applications will not be considered.
Applications reviewed on a rolling basis
Applications open: 15–20 July 2026
Interviews: 21–24 July 2026
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