Research Fellow Position
1 month ago
We are seeking a highly motivated and experienced Research Fellow to join our team at the Earth Observatory of Singapore (EOS). The successful candidate will work under the supervision of Prof Adam Switzer to investigate various approaches to future tropical cyclone prediction in the Asia Pacific and apply novel statistical techniques to enable policymakers and planners to understand plausible worst-case scenarios with the rising sea-level and changing climate.
Key Responsibilities:- Conduct computer simulations by modelling components of sea-level rise, cyclogenesis and their inter-dependencies.
- Interface with climate modeling experts and insurance industry partners on the relevant data for modeling and analysis of future cyclone risk.
- Manage, analyse, and interpret complex datasets, employing the latest methodologies and tools for accurate and efficient data processing.
- Engage in close collaboration with experts across diverse disciplines, integrating various datasets to enhance the understanding on scientific prediction of sea-level rise.
- Develop key case studies that can inform and support policy decisions, emphasizing practical applications of research findings in risk management and mitigation strategies.
- Prepare research outputs in formats accessible to policymakers, risk stakeholders, and the broader community, ensuring clear and effective communication of complex scientific information.
- Present, publish, and communicate research results in scientific meetings, scholarly journals, and other relevant platforms, contributing to the broader scientific discourse.
- Provide guidance and support to junior team members, students, and research assistants, fostering an environment of learning and professional growth.
- Ph.D. in Coastal Engineering, Climate Science, or another related field.
- Post-doctoral experience is an advantage.
- Strong fundamentals of climate variability and change, geoscience and atmospheric science, physical oceanography, and meteorological observations.
- Expertise and interests in climate modelling, data analysis, and statistical methods.
- Track record of publishing research relevant to the position in international recognised journals.
- Evidence of excellent communication skills.
- Evidence of independence in research direction and team spirit.
EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability. Interested applicants should submit a CV and a statement of interests. Evaluation of application starts immediately until the position is filled.
We regret to inform that only shortlisted candidates will be notified.
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