**Job no**: 495243

**Work type**: Contract, full-time

**Job Position**

Singapore University of Technology and Design’s Meta Design Lab (MDL) working closely with the Lee Kuan Yew Centre for Innovative Cities (LKYCIC) is calling for a Postdoctoral Fellow for an exciting new project, which will be collaborating with Singapore’s National Parks Board (NParks).

**Project Description**

This project aims to investigate the relationship between macro-urban configurations and its effect on the wellness of residents, focusing specifically in recreation spaces like parks. It hypothesises that much of a resident’s exercise and positive health aspects of a city are a product of how people use an interact with urban spaces. However, the relationship between spatial configuration and activity has not been empirically correlated specially not by observation and data at scale. This research aims to take a significantly more analytical and spatially focused approach, considering and ideally correlating how an urban area effects users’ activity and decisions. Expanding the domain of urban population health research, and related methodological approaches.

To do this it will explore and integrate three concurrent areas of study:

- An in-depth ethnographic study of recreational activity and health
- Research to understand recreation space design its influence and how to improve it to get better parks and recreation spaces specifically in a Singapore context.

The position advertised here focuses on supporting the first section of this and is intended to be develop a data driven approach to urban recreation analysis, by providing insight into how people use space by using ethical and anonymised image tracking of users of public spaces developing or and/or using ML models to improve aggregate user monitoring and identification of activity and location. This will be correlated with spatial configuration of the spaces, origin-destination modelling, and available route choice analysis (spatial network) provided though other tracking methods. Then using this empirical data as the input source to do analytics for human insight and potentially exploring machine learning to predict space use, computing resultant health metrics, leading to automated appraisal of the wellness of the space.

It is hoped that this work if proven successful may be scaled to wider analysis of recreation areas where possible to develop data for use in deriving more insight into user activity in tandem with the ethnographic study as data triangulation. Combing both these sources to allow for better informed developing of policy and design guidelines to improve future park and recreation space design, potentially building more user focused ML tools for urban planners specifically NParks and other agencies.

The research is highly disciplinary but anchored in Big-Data, Design, Urban Planning, and Applied A.I. and lead by, Belinda Yuen (LKYCIC), Sam Joyce (SUTD), Yuen Chau (SUTD), and Falk Müller-Riemenschneider (NUS) each covering aspects of planning for wellness, applied computational design, A.I., and clinical analysis of recreation spaces respectively.

**Researcher Description**

The hire will be directly report to Sam Joyce and act as part of the Meta Design Lab how have experience in spatially applied analytics, AI, ML, and image recognition aspects. They will also work closely with LKYCIC in terms of understanding wellness and health aspects and data needs for the user capture and monitoring. This project has support to capture data from government agencies and for potential wider implementation based on findings. The project may also collaborate with an industry leading company to leverage their image recognition technology
- pipeline to support our activities as well as supporting potentially translational efforts if the technology is successful.

Domain Background (one of)
- Computer Science, ML/AI, Data-Scientist, Computer Graphics, Computer Vision, Architecture or Urban Planning

Education
- Relevant master’s degree or doctorate in one of the above fields.
- Alternatively, someone from the Engineering, Architectural or Geography background with strong demonstrable experience in the above domain areas specifically AI/ML.

Desired Skills
- Experience in applied AI and a desire to try new ML and analytics on real problems
- Ability to work individually, as well as collaborate in small teams
- A project lead and outcome driven programming approach
- Open to working in an interdisciplinary way
- Interest in architecture, urban planning and design in general
- Happy to explain and involve non-domain experts in ML and AI

Required Proficiency
- Python
- Data science and Analytics
- Experience processing and cleaning data
- Capability in coding TensorFlow, PyTorch or similar ML frameworks
- Experience with AWS or similar server/could based systems

Desired Proficiency
- Analytics and processing of images and/or video Image Recognition
- Obse