1. Research Fellow

Job Description

We are seeking a highly motivated Research Fellow with expertise in AI-driven climate modeling, environmental data science, urban sustainability, and atmospheric sciences. The successful candidate will contribute to cutting-edge research on weather and climate extremes, urban environmental challenges, and sustainability solutions across Southeast Asia.

The Research Fellow will work on the development of high-resolution weather and climate models, AI-assisted analytical frameworks, and integrated observational datasets using remote sensing, atmospheric, and urban data sources. The position offers opportunities to collaborate with interdisciplinary research teams, government agencies, and international partners on impactful climate and sustainability projects.

Job Responsibilities

• Develop and apply AI-assisted weather and climate models with high spatial and temporal resolution.

• Integrate remote sensing, observational, and numerical model datasets for climate and urban sustainability applications.

• Conduct research on urban climate processes, including urban heat island effects, boundary layer dynamics, air pollution, and building energy consumption.

• Apply machine learning and statistical approaches for climate risk assessment, prediction, and scenario analysis.

• Analyze large-scale atmospheric, environmental, and geospatial datasets.

• Support the development of innovative AI tools and workflows for climate and sustainability research.

• Collaborate with interdisciplinary research teams and external stakeholders.

• Prepare scientific manuscripts, technical reports, and conference presentations.

• Contribute to grant proposals and ongoing research projects.

Job Requirements

• Experience with Linux-based high-performance computing environments and GPU computing.

• Ph.D. in Climate Science, Atmospheric Science, Environmental Science, Computer Science, AI/Data Science, Remote Sensing, Urban Sustainability, or a related discipline.

• Strong background in weather and climate models development and applications.

• Experience in machine learning, deep learning, or AI applications for atmospheric modeling.

• Proficiency in Python and experience with AI/ML frameworks such as PyTorch or TensorFlow.

• Experience handling large geospatial, atmospheric, or remote sensing datasets is preferred.

• Strong analytical, programming, and scientific writing skills.

• Demonstrated ability to publish in peer-reviewed journals.

• Ability to work independently and collaboratively in interdisciplinary research teams.

Application Materials

• CV

• Research Statement

• Publication List

Please submit all materials to meeichyi.wong@nie.edu.sg. 

We regret that only shortlisted candidates will be notified. 

Looking for a potential PhD supervisor?

Dr Wang Jingyu received his PhD from the University of Arizona, USA, and is currently an Assistant Professor with NIE’s Humanities and Social Studies Education Academic Group (HSSE).

Asst Prof Wang’s research focuses on the observation and simulation of mesoscale convective systems and the related natural hazards.

Start your conversation with Asst Prof Wang Jingyu today @ jingyu.wang@nie.edu.sg

✅To find out more about Asst Prof Wang : https://lnkd.in/eyMHDvPR

✅To find out more about January 2026 intake PhD application exercise: https://www.ntu.edu.sg/nie/admissions/graduate-education-admissions/graduate-programmes-application-exercise

✅To find out more about the research areas offered by NIE: https://bit.ly/NIEPGR