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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 description

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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