£14.02 per hour + £1.69 holiday pay
Advertising End Date
07 Oct 2025
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  • AI Creative Technologist (GANs & Machine Learning)

Role & Department Overview

The Opportunity

We are searching for a new AI Creative Technologist, to play a key role in an innovative art and research project. The main purpose of this role is to support the development of new video-immersive works by training and adapting machine learning models, working closely with artists and researchers. The successful candidate will be confident with machine learning frameworks such as PyTorch and comfortable moving between creative experimentation and technical problem-solving.

This is an excellent opportunity for someone who wants to apply their technical skills in a creative, interdisciplinary context.

Start Date: 10 October 2025
End Date: 2 January 2026
Working Pattern: 8-12 hours per week, 12 weeks total
Location: On the Lancaster University campus

Job Description

Main responsibilities:

  • Collaborate with artists and researchers to set up and train Generative Adversarial Networks (GANs) and related machine learning models on image and video datasets.
  • Prepare and manage datasets (image curation, resizing, cleaning, labelling) for model training.
  • Explore and document approaches to latent space navigation and video generation.
  • Produce clear, reproducible workflows and lightweight documentation to support ongoing use of the models by non-technical collaborators.
  • Work with colleagues to experiment, test, and refine outputs, contributing ideas and solutions.
  • Maintain high levels of professional conduct, including clear communication with both technical and non-technical collaborators.

Person Specification

The successful candidate will have:

  • Experience working with PyTorch (or TensorFlow) for machine learning projects.
  • Knowledge of GANs or related generative models (StyleGAN, DCGAN, Diffusion models etc).
  • Experience with Python programming and familiarity with data preparation workflows.
  • An ability to explain technical concepts to non-technical collaborators in plain language.
  • Strong organisational skills, able to work independently and manage small project milestones.
  • A collaborative mindset, with an openness to experimentation and creative processes.

Desirable:

  • Experience working on interdisciplinary projects in art, design, or media.
  • Familiarity with GPU computing (local or cloud-based).
  • Understanding of video editing or creative coding environments.

Skills you will develop in this role:

  • Interdisciplinary collaboration between art and AI.
  • Advanced experience with GAN training, latent space exploration, and generative workflows.
  • Problem-solving and adaptability in research-based contexts.
  • Communicating complex technical work to a creative audience.

Please note:

  • This role is open to individuals based in the UK.
  • You are required to submit a CV and cover letter tailored to this role.
  • Hours are project-based and flexible, with the expectation of delivering outputs within the agreed timeframe and budget.
Any informal enquiries about this role can be directed to Brian Green - [email protected]



 
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.
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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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