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Research Fellow (Dept of the Built Environment)
National University of Singapore · Queenstown Estate
Queenstown Estate · RemoteFull-TimePosted Mar 9, 2026
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Job Title: Research Fellow (Dept of the Built Environment) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: The Built Environment Employee Category: Research Staff Location_ONB: Kent Ridge Campus Posting Start Date: 09/03/2026 Job Description
- Conduct research to improve understanding and forecasting of extreme convective hazards in the Maritime Continent.
- Review the literature on maritime climate modelling
- Analyse convective storms with emphasis on convection initiation, using multi-source observational datasets, remote sensing products, and reanalysis.
- Integrate and compare observations, NWP model outputs, and nowcasting model products for hazard prediction workflows.
- Develop and apply machine learning–based post-processing methods to enhance forecast skill for convective hazards.
- Perform spatio-temporal data analytics on weather and/or hydrological fields.
- Collaborate closely with project team members; contribute to end-to-end research activities and shared datasets/tools.
- Lead and contribute to peer-reviewed publications, conference presentations, and internal research reporting.
- Maintain organized research workflows (version control, reproducible experiments, documentation).
- Support broader project goals as needed (e.g., dataset curation, method benchmarking, cross-validation with partners). Job Requirements
- Ph.D. in Atmospheric Science, Meteorology, Hydrology, Machine Learning, Physics, or related discipline (completed or expected within 2–3 months).
- Demonstrated experience with spatio-temporal data analytics for weather and/or hydrological fields.
- Proven machine learning experience (e.g., post-processing, prediction, classification/regression, uncertainty estimation, model evaluation).
- Familiarity with remote sensing products and reanalysis datasets; ability to integrate multi-source observational data.
- Strong programming skills
- Good publication record in relevant journals.
- Strong written and oral communication skills.
- Highly organized, proactive, and able to work both independently and collaboratively in a multidisciplinary team.
- Proficient command of spoken and written English.
- Experience working with or evaluating NWP outputs and/or nowcasting systems is advantageous.
- Prior experience in international research collaborations is a plus. More Information
Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department : The Built Environment
Employee Referral Eligible: No
Job requisition ID : 31999
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