KTP Research Associate in AI and Knowledge Systems for the Built Environment

This is an exciting opportunity for someone with a postgraduate/doctoral degree in Computer Science or another quantitative discipline (such as mathematics, physics or engineering). The post holder will lead a cutting-edge innovation project that will enhance urban planning and built environment consultancy services by embedding a knowledge repository integrating internal and external datasets, automated workflows, and advanced process mining tools. Based at the GIA London office, the KTP Associate will apply AI and machine learning in a market leading market-leading built environment consultancy firm. This will involve identifying and integrating relevant data sources into a multi-format system, reviewing GIA’s user and data journey maps, creating LLM pipelines as well as implementing the knowledge repository and automated workflows. This innovative approach uses AI to create a knowledge repository, providing real-time, relevant information, streamlining workflows and supporting sustainable, data-driven decisions in urban design, planning, and development while enhancing collaboration between GIA business lines. Plus, the successful candidate will be part of the prestigious 48-year-old national Knowledge Transfer Partnership programme offering a dedicated professional development budget, a network of fellow Associates from many disciplines and training and mentoring opportunities. The Associate will also have the opportunity to write publications about their work alongside the academic and company team.

The successful candidate must be in post no later than the 06 December 2025.

The KTP Associate is responsible for the day-to-day running of the project. The Associate will be expected to show initiative and independence of thought in applied research and embedding knowledge. They will also demonstrate inquisitive and project management skills in their industry-based role. Specifically, this includes:

1. understanding GIA’s business and undertaking a comprehensive literature and technical review
2. undertaking a full critical assessment and mapping of GIA’s existing processes, data flows, user role, user journeys and service journeys
3. delivering a comprehensive data framework to address the knowledge and data gaps/requirements identified across all GIA service lines
4. setting up the database knowledge repository, linking internal and external data to a new GIA integrated database
5. integrating the plans for process automation in a way that integrates the data cross-service
6. implementing the agreed route to delivery

In addition, the post holder will be expected to:

• Follow and promote UCL policies actively, including Equal Opportunities and Race Equality policies
• Maintain an awareness and observation of fire and health and safety regulations
• Carry out any other duties commensurate with the grade and purpose of the post

The successful candidate will need to meet UCL’s expectations of core behaviours as outlined in https://www.ucl.ac.uk/human-resources/policies-advice/core-behaviours-framework
As duties and responsibilities change the job description will be reviewed and amended in consultation with the post holder.