What the role is:
Join URA’s DPLab, which spearheads the Whole-of-Government Urban Planning & Design Technology Centre of Excellence’s (URBEX) efforts to research and develop smart urban planning and design technologies through Policy‐Ops‐Tech collaborations.
DPLab is a multi‐disciplinary team with capabilities in data policy, governance, strategy, management and engineering, product strategy, business analysis, software engineering, cloud engineering, urban design technologies, 2D/3D geospatial analytics, data science, AI/ML, and modelling and simulation.
We collaborate closely with planners, architects and policymakers to develop digital solutions and analytics to provide insights for Singapore’s urban planning challenges.
What you will be working on:
What you'll do:
Develop Artificial Intelligence (AI) solutions for the Urban Planning & Design domain by working collaboratively with internal user groups (Urban Planners, Architects, Data Engineers, Data Scientists, Software Developers, etc.) and WOG agencies in the scoping, architecting, development, deployment and integration of machine learning or AI solutions using cloud or on‐premise infrastructure
Support the training of URA community in the use of AI technologies
Engage stakeholders across departments and external agencies to gather use cases and requirements, document user feedback, and support solution roll‐outs with feedback loops
What you'll gain:
By the end of this traineeship, you will have:
Hands‐on experience in (i) developing with state‐of‐the‐art AI / Machine Learning (including Generative AI) technologies to enhance Urban Planning and Design in an agile team set‐up, and (ii) working with cloud infrastructure and services to deploy machine learning models, pipelines, or solutions (e.g. Microsoft Azure/AWS)
Understanding of modern software architecture patterns and principles
Practical problem‐solving skills through supporting real‐world urban planning and design applications
General understanding about urban planning work and devise solutions that drive desirable planning outcomes
Strong communication and collaboration abilities from engaging with diverse stakeholders
Understanding of how digital solutions support public sector operations and strategic objectives
What we are looking for:
Singapore Citizen or Permanent Resident
Graduated in 2024 to 2025 with a Degree in Computer Science, Information Technology, or related ICT disciplines
Familiarity with Natural Language Processing, Knowledge‐based Systems (KBS) and Generative AI projects
Experience in developing and optimising machine learning or AI models using common Python packages such as scikit‐learn, TensorFlow, or PyTorch
Strong analytical thinking and eagerness to learn new technologies
Good communication skills and ability to work collaboratively
About Urban Redevelopment Authority
The Urban Redevelopment Authority (URA) is Singapore's national land use planning authority.
URA prepares long term strategic plans, as well as detailed local area plans, for physical development, and then co‐ordinates and guides efforts to bring these plans to reality.
Prudent land use planning has enabled Singapore to enjoy strong economic growth and social cohesion, and ensures that sufficient land is safeguarded to support continued economic progress and future development.
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