Research Intern – Spatial AI & GNN for Retail Valuation

Singapore - Singapore

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

We are the University of Cambridge research centre in Singapore called Cambridge CARES sponsored by the NRF CREATE program . Health-driven design for cities (HD4) is a collaborative research programme between the University of Cambridge Nanyang Technological University and National University Singapore within Cambridge CARES.

The project focuses on characterising urban environmental exposures across Singapore and linking them to participants in the SG100K cohort. The project assembles data on weather built environment population density transport access and other socio-demographic markers to quantify exposures such as humid heat stress air pollution food retail accessibility land use amenities and infrastructure. These spatial indicators are then used to describe different types of urban environments that people live in and to support downstream analyses of links between environment behaviour and health.

Key responsibilities:

The intern will assist in developing a foundation model for spatial asset intelligence. The model learns from floor-plan geometry tenancy/rent data and footfall patterns to support automated valuation of strata-titled retail units especially where clean rental histories are unavailable.

Assisting with data consolidation and cleaning of architectural floor plans rental ledgers and footfall-related datasets.
Supporting the development of machine learning pipelines including preparation of training/validation datasets and basic feature engineering.
Helping to pre-train and fine-tune model components.
Implementing and running experiments and benchmarks including error analysis against expert valuation baselines.
Documenting datasets model configurations and experiment results to ensure reproducibility and smooth handover.

The intern will work closely with the core research team in Singapore gaining exposure to production-oriented ML workflows in a real-world public-sectorrelevant application.

Internship requirements:

Background in Architectural Design or a related field (senior undergraduate or Masters student preferred).
Basic programming skills in Python including experience with data processing libraries (e.g. pandas NumPy).
Basic understanding of machine learning.
Comfortable working with Linux Git and large datasets including messy and heterogeneous data sources.
Good written and verbal communication skills in English; able to document work clearly and collaborate with a multi-disciplinary team.
Experience or strong interest in one or more of Computer vision (especially working with images or drawings) Graph Neural Networks or network/graph data
Curious and self-motivated with a genuine interest in spatial AI.
Detail-oriented and systematic in coding and documentation.
Willing to learn new methods and libraries quickly and comfortable asking questions and seeking feedback.

Skills gained by the end of the internsip:

By the end of the internship the intern is expected to gain:

Practical experience with foundation models applied to spatial problems.
Hands-on skills in data engineering for ML including cleaning and structuring heterogeneous sources.
Exposure to graph-based modelling including construction of building graphs and use of Graph Neural Networks for valuation tasks.
Experience running and interpreting ML experiments: setting up baselines tracking metrics and performing basic error and ablation analysis.
Improved proficiency in Python deep learning frameworks and collaborative research workflows.
Insight into how advanced AI methods are integrated into public-sector decision-support tools.

Please note this post is mainly based in the CREATE Tower at NUS University Town Singapore.

Please apply by uploading your CV academic transcript (unofficial is acceptable) and a short statement of interest (max 1 page) describing relevant experience and motivation.

If you have any questions please feel free to reach out to the HR team at

Required Experience:

Intern

We are the University of Cambridge research centre in Singapore called Cambridge CARES sponsored by the NRF CREATE program . Health-driven design for cities (HD4) is a collaborative research programme between the University of Cambridge Nanyang Technological University and National University Singap...