Young and research-intensive, Nanyang Technological University (NTU Singapore) is ranked 12th globally. It is also placed 1st among the world’s best young universities. The Asian School of the Environment (ASE) invites applications for the position of Research Fellow (Post-doc) within Prof. Lallemant’s research group.
The Research Fellow will join a dynamic, expanding research group that investigates the complex impact that natural hazards have on society (http://resilience-science.org/). In particular, the selected candidate will 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.
Duties and Responsibilities
- Conceive, design, prototype and implement solutions to collect and analyze complex data on natural hazards and their impacts on society (no prior knowledge of the disaster risk analysis field required).
- 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.
- Mentor junior colleagues, as needed.
- Knowledge and Experience Requirements:
- PhD degree in statistics, computer science, quantitative earth or environmental system sciences, or other quantitative field.
- Strong understanding of applied statistics methods, preferably (but not necessarily) applied to earth and environmental systems modeling.
- 3-5 years experience with statistical programing with R or Python.
- Experience with creating structured and shareable code packages a plus (e.g. R packages).
- Knowledge of geostatistics a plus.
Key Competency Requirements:
- Logical thinking and creative problem solving is essential.
- Ability to examine data and results critically for potential errors and inconsistencies.
- Self-driven, highly motivated, collaborative, with interest to work with other researchers and scientists (team player) to produce high-quality and impactful research.
- Interest in the field of natural hazards and reducing their impacts on society.
- Excellent oral and written communication skills in English.
Interested applicants are invited to submit a full CV, work samples and names and contact details of two referees, to email@example.com indicating Research Fellow – Applied Statistics for Disaster Research in the title.
Review of applications will begin immediately.
Kindly note that only short-listed candidates will be contacted for interview.