Opportunities

Why Join?

The Disaster Analytics for Society Lab (DASL) brings together students and researchers with a variety of backgrounds and interests who share the common goal of reducing the vulnerability of communities to natural hazards. Some of the expertise relevant to our research includes engineering, computer science, design, statistics, economics, geography, social science, environmental science, earth science, remote-sensing and data analytics. 

We believe that research is deeply human work — and our group code of conduct, values, and processes reflect this. We want working with DASL to be as valuable for you as it is for our community of researchers.

What you can expect:

DO IMPACTFUL RESEARCH

We work with communities and collaborators to make sure that the research questions we ask aren’t just useful for academics — they’re valuable for the communities facing natural hazards too. 

DEEP TECHNICAL EXPERTISE

We take the detailed, technical work we do very seriously. We’re committed to producing excellent, transparent and useful technical research to inform resilience policy and practice. 

RESOURCES & OPPORTUNITIES

Our lab is lucky to have the support of funders in Singapore and across the world that allow us to build capacity by purchasing equipment, traveling for conferences and workshops, developing complex tools, and more. 

A THRIVING, DYNAMIC CITY

Singapore is a unique home for our lab. We are lucky to be a diverse team from different countries, cultures and geographies working in a deeply networked, thriving city that’s well-connected to our field sites in the region.

Current openings

Our group brings together students and researchers with a variety of backgrounds and interests who share the common goal of reducing the vulnerability of communities to natural hazards. Some of the expertise relevant to our research includes engineering, computer science, design, statistics, economics, geography, social science, environmental studies, earth science, remote sensing and data analytics.

FIELD & LAB COORDINATOR

We are hiring a research associate (MA/MSc) with a strong understanding of field and lab-based methods (e.g. drones, remote sensing) for disaster risk analysis; they will build our capacity to quickly deploy & collect critical data in complex, post-disaster contexts. 

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POST-DOCTORAL FELLOWS

We are looking for post-docs with strong skills in applied statistics and data science applied to risk, environmental systems, or cities. Support for research projects is available. Get in touch with us to learn more about postdoc funding opportunities.

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PHD STUDENTS
(ASE, NTU)

Fully funded PhD studentships (including tuition, living and housing allowance, travel, research and conference funds, etc) are available at the Asian School of the Environment in NTU, Asia’s leading university located in Singapore. See below for details.

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RESEARCH ASSISTANTS/
ASSOCIATES

We are hiring research assistants (BA/BSc) and associates (MA/MSc) to conceive, design, prototype, test and implement solutions to collect and analyze complex data on natural hazards and their impacts on society.

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RESEARCH ASSOCIATE POSITIONS

RA – Field & Lab Coordinator

We’re looking for an excellent candidate to help us build out our capacity for field and lab research. This will include purchasing, maintaining, and training lab members on the use of drones, remote sensing technologies, and other field-based research methods as needed.

Support for research (especially related to novel methodologies and analysis, including with geospatial data) will be made available. 

RESPONSIBILITIES

The RA will support the planning, coordination and execution of field activities for DASL, leading to successful, safe, and ethical disaster-related fieldwork. They will also support the development of a state-of-the-art spatial analysis lab at NTU. 

COMPETENCIES

Experience with field survey techniques and equipment, including unmanned aerial systems, is a plus. Familiarity and interest in research around natural disasters, humanitarian emergencies or other complex field research environments is preferred. 

QUALIFICATIONS

Honours or Master’s degree in Earth Science, Geoinformatics, Geography, Engineering, or other related field. 

HOW TO APPLY

Submit a CV, work samples and details of two referees on NTU’s Workday platform using the details provided below:

APPLY
RESEARCH FELLOW POSITIONS

Post-doctoral research opportunities with funding

We are actively hiring post-doctoral fellows with a passion for developing and testing applied statistics and machine learning applications in the field of natural hazards and disaster risk analysis. Funding sources and support for developing an independent project are readily available. 

RESPONSIBILITIES

Support the testing and implementation of machine learning algorithms and their integration within the risk analysis framework.
Create and update code documentation, libraries and advise on best data management practices.

COMPETENCIES

Strong understanding of applied statistics methods, ability to mentor and work in teams of researchers, and extensive work with R or Python.

QUALIFICATIONS

Logical thinking and creative problem solving is essential. Applicants should be self-driven, highly motivated, collaborative team players.

HOW TO APPLY

Submit a CV, work samples, and other information using the email below:

APPLY
PHD STUDENTSHIPS

Pursue a PhD at the Asian School of the Environment (ASE), NTU

We’re looking for passionate students to take up a fully funded (tuition, living and housing allowance, travel / research / conference funds, etc) PhD in Earth Science from Asia’s leading university, NTU. Shape your career for academia (post-doc or professorship), private practice or international organization / government service.

See more details about the program below and reach out to David with your CV to express interest. 

RESEARCH

Pursue cutting-edge research on urgent and important problems in risk analysis, resilience science, and recovery processes. Field-based research is funded and encouraged through our collaborations with partners across Asia. 

FUNDING

PhD students are fully funded, including tuition, living costs, housing, conferences, publishing, fieldwork, health insurance, and more. There are also prestigious scholarships and fellowships available to supplement departmental funding. 

COURSEWORK

Courses are taught by faculty at the Asian School of the Environment, and feature multidisciplinary contexts. PhD candidates are encouraged to TA for faculty and develop diverse skillsets. 

HOW TO APPLY

Send an email to David with a CV and more information on your interests and qualifications. Click the link below for more information on the program. 

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RESEARCH ASSISTANT POSITIONS

RA – Applied Statistics for Disaster Research

We’re looking for talented and dynamic researchers to develop and test applied statistics and machine learning applications in the field of natural hazards and disaster risk analysis.

The work will involve writing applied statistical code (including machine learning) for collecting and analyzing complex data (e.g. satellite remote-sensing, environmental sensors, etc) to better understand and quantify risk from natural hazards of various kinds, as well as better assess post-disaster impacts.

RESPONSIBILITIES

Conceive, design, prototype and implement solutions to collect and analyze complex data on natural hazards and their impacts on society; test and implement machine learning algorithms in risk analysis frameworks. 

COMPETENCIES

Strong understanding of applied statistics methods, preferably (but not necessarily) applied to earth and environmental systems modeling. Experience with statistical programing with R or Python. Knowledge of geostatistics is a plus.

QUALIFICATIONS

BSc or MSc in statistics, computer science, quantitative earth or environmental system sciences, or another quantitative field.

HOW TO APPLY

Submit a CV, work samples and details of two referees to David at this email: 

APPLY