This is a Research Assistant for the PlAN-AID project, which is a collaboration between the Department of Architecture and Built Environment and School of Computer Science. The project aims to improve the accessibility of floor plan design with generative AI. The project will work with a Nottingham architecture firmGT3.
Start Date: 01/04/2026
End Date: 16/06/2026
Working Hours: No fixed hours - 15 hours per week
Pay Rate: £17.51 per hour
Holiday Pay Rate: £2.11 per hour
Location: UoN, Computer Science Building, Jubilee Campus
Dress Code: Smart Casual
Duties and responsibilities
* Conduct literature research on the latest generative AI for floor plan design
* Evaluate the effectiveness of existing generative AI models for floor plan accessibility assessment.
* Improve floor plan accessibility assessment and generation through prompt engineering and AI pipeline design
* Fine tuning AI models for floorplan accessibility and collected the required training samples.
* Create a user interface for architects (non-technical users)
* Document the details about training data, model, and software.
* Attend weekly project meetings and meetings with external partner, e.g., GT3 Architects.
* Help prepare project documents such as the final report.
Skills and experience
* Proficiency in Python and its machine learning libraries such as PyTorch
* Knowledge and experience with generative AI models, particularly vision-language models.
* Knowledge and experience in prompt engineering and AI workflow design
* Knowledge and experience in model fine tuning
* Knowledge and experience with web scraping (for training data collection)
* Proficiency in user interface development, preferably JavaScript based with libraries such as React.
Location
UoN, Computer Science Building, Jubilee Campus
How to apply
Ensure that you demonstrate how you meet the requirements outlined above in your written application. You will always need to tailor your application to the you are applying for. Applications may close early if a suitable candidate is found, so apply early to avoid disappointment.
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