Air Quality Modeller

7 days ago

Singapore Cambridge Centre for Advanced Research and Education (CARES) Full time

**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, Nanyang Technological University and National University Singapore 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 the 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.

**Who are we looking for?**

We are seeking a highly skilled and motivated Air Quality Modeller to join HD4. Working collaboratively with a

team of population health scientists, geospatial scientists, and data engineers the post holder will lead on

building various emission inventories and air quality models for Singapore which incorporate the various air

pollution sources in the country and allow for linkage with the geolocations of participants of the Singapore 100K

cohort (SG100K), including some geo-located behavioural data. The models will also be set-up and used

subsequent scenario modelling to estimate the impact of interventions on air quality and health and disentangle

the various sources through source apportionment. This role requires a multi-skilled individual that can work

independently and collaboratively in a multidisciplinary team environment.

**Key Responsibilities**:
**Collaboration**: Work closely with researchers to understand the data needs of the programme and

contribute to the design of scientifically robust and policy relevant models linking emission inventories to

air quality models and spatially and temporally assigning exposures for human participants in subsequent

epidemiological analyses and health impact assessments.

**Data, identification, production, and assembly**:Collaborate with team and external scientists, national and

local organizations, and conduct independent literature reviews to produce and synthesise the required

data sources with high temporal and spatial resolution and to link data across various sources.

**Data verification validation**: Identify and use various primary collected data and published secondary data

from peer-reviewed and grey literature to verify and validate produced emission and air quality model

outputs. Ensure model robustness through cross-checking, calibration, and validation through multiple

iterations.

**Model building**: Build operational and validated air quality models and link their outputs to human

participants in static (e.g. at home address) and dynamic exposure (assigning exposures to other locations

outside the residential address only e.g. while travelling) assignment for diverse population groups.

**Support**: Provide technical support and training to researchers.

**Documentation**: Create and maintain comprehensive documentation for model development, verification,

and validation. Support project reporting and paper writing and submission to peer-reviewed journals.

**Innovation**: Stay updated with the latest advancements in emissions and air quality modelling, and exposure
assignment, to incorporate new technologies and methodologies.

**What skills will you need?**

**Education**: PhD degree in a relevant field.

**Experience**: Proven experience in emissions and air quality modelling and validation.

**Technical Skills**:

- Expertise in emissions modelling
- Expertise in air quality modelling and air pollution dispersion models such as ADMS-Urban and assigning

exposures to other locations outside the residential address only
- Expertise in geographical exposure assignment including for data with high temporal and spatial

resolution
- Practical experience of model building, verification, calibration, and validation
- Understanding of health effects and health impact assessment methods
- Proficiency with spatial analysis tools, databases, and libraries (e.g., ArcGIS, QGIS, PostGIS) and
- Proficiency in programming language

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