Research Associate (AI Researcher) at Cambridge Centre for Advanced Research and Education CARES
Singapore, Southeast, Singapore -
Full Time


Start Date

Immediate

Expiry Date

08 May, 25

Salary

0.0

Posted On

08 Feb, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Urban Planning, Writing, Machine Learning, R, Modeling, Geography, Articles, Research

Industry

Hospital/Health Care

Description

WHO ARE WE?

We are the University of Cambridge research centre in Singapore called Cambridge CARES, sponsored by the NRF
CREATE program CAM.CREATE. Health-driven design for cities (HD4) is a collaborative research programme between the
University of Cambridge, NTU and NUS within Cambridge CARES.
HD4 sits at the heart of Singapore’s global research and development hub and paves the way for a sustainable and
healthy city. It will undertake research in the following key areas: characterising the features of the environment that
potentially impact health in Singapore; understanding the links between environmental factors, individual behaviour
and health outcomes; observing the impact of environmental change on health in Singapore; simulating the impact of
potential changes on the health of Singaporeans; and working with government agencies to co-develop data-rich
public health tools.
The scientific techniques, technologies, tools and most importantly the knowledge gained through the programme
will create a comprehensive systems view of how the urban environment affects population health in Singapore. The
programme will train and enrich the talent pool of next generation of researchers, and benefit from local and
international expertise and an innovative interdisciplinary research ecosystem. It will provide the basis for a data-rich
public health framework, supporting the development of a healthy Singapore.
Work Package 1, led by Assoc. Prof. Rudi STOUFFS (NUS) and Assoc. Prof. Ronita Bardhan (Cambridge), targets the
identification and assembly of existing geocoded environmental datasets and linkage to individual behaviour and
health outcomes. We will use existing data to analyse the built and natural environments in Singapore and construct
profiles of urban environmental exposures at both population and individual levels. We will compile and map a set of
environmental indicators and discover urban environmental exposure archetypes. These will be linked to the record
of each study participant’s individual behaviour and health outcome.

WHAT SKILLS DO YOU HAVE?

  • A Master’s degree in urban planning or geography or a strongly related field from a reputable university.
  • Experience in conducting research.
  • Expertise in urban heat assessment, health risk and equality analysis, and strong geospatial analysis skills.
  • Good command of GIS and geospatial modelling software (e.g., Python, R).
  • Experience in multi-source data and multi-scale (regional, urban, neighbourhood) analysis, modeling, and

planning.

  • Preferably, experience in machine learning / AI and interdisciplinary research.
  • Experience with writing and publishing articles in reputable scientific journals.
Responsibilities

Please refer the Job description for details

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