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Research Fellow (Spatial Urban Ecology Modelling)

External
ntu logoNtu · Ntu Main Campus, Singapore
Full-timeRemote6d ago
Data AnalysisPython
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Responsibilities

  • Job Requirements:
  • PhD in Ecology, Environmental Science, Geography, Geospatial Science, Remote Sensing, Conservation Biology, Data Science, or a related field.
  • Experience in ecological modelling, spatial ecology, biodiversity assessment, or remote sensing.
  • Proficiency in R and/or Python, GIS, and quantitative data analysis.
  • Experience with species distribution models (SDMs), occupancy models, or related statistical modelling approaches.
  • Strong publication record and scientific writing skills.
  • Excellent communication and interpersonal skills.
  • Experience with airborne LiDAR, urban ecology, or biodiversity modelling is advantageous.
  • We seek 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.
  • We regret to inform that only shortlisted candidates will be notified.
  • Hiring Institution: NTU

Benefits

Remote work options

Additional Information

About the School The Asian School of the Environment (ASE) at Nanyang Technological University is a diverse school focusing on the connections between geosciences, ecology, society and Earth systems. Our approach integrates these disciplines to examine big environmental challenges both in Southeast Asia and globally. We conduct cutting-edge research on topics that include ecology, geohazards, climate change, sea-level rise, environmental sustainability, conservation of environment and biodiversity, and interactions between environment and society. For more information, please visit our website: https://www.ntu.edu.sg/ase We are seeking a highly motivated Research Fellow to join a research group led by Asst Prof Zeng Yiwen. The successful candidate will work on a multidisciplinary biodiversity modelling and spatial ecology project focused on urban Singapore.


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