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Job ID: 236638

Research Fellow (Civil Engineering/Engineering)
Nanyang Technological University


Date Posted May 28, 2024
Title Research Fellow (Civil Engineering/Engineering)
University Nanyang Technological University
Singapore, Singapore
Department Institute of Catastrophe Risk Management
Application Deadline Open until filled
Position Start Date Available Immediately
 
 
  • Professional Staff
    Research Scientist/Associate
  • Civil Engineering
    Engineering - Other
 
 

The Institute of Catastrophe Risk Management (ICRM) at NTU invites applications for a Research Fellow as a modeller in natural catastrophes exposure and loss. ICRM is a multi-disciplinary catastrophe risk management research institute which develops understandings and models of Asia’s risks related to natural disasters such as earthquakes, tsunamis, typhoons, and floods, and non-traditional risks such as infectious diseases and terrorism. This position at ICRM is for developing and maintaining the ICRM’s exposure and loss models, running of in-house risk models, exposure and loss data collection and outreach activities.

 

Key Responsibilities:

  • Produce output data and papers/reports relating to exposure and loss, cascading loss effects

  • Establish procedures on data quality assurance

  • Develop documentation.

 

Job Requirements:

  • PhD degree in Civil Engineering or in Engineering in a closely relevant field.

  • Familiar with data and models, and software used in exposure and loss modelling.

  • Competency in programming languages, such as Matlab, R, or Python, within a GIS environment

  • Able to publish and communicate effectively to both technical and non-technical audiences

  • Able to advance research for emerging risks such as relating to climate and urbanization

  • Domain knowledge via PhD work and/or with the insurance industry would be preferrable.

  • Self-motivated, pro-active, results-oriented professional with an ability to work with minimal supervision in dealing with data uncertainties

  • Good written and verbal communication skills

  • Strong presentation skills

  • Good in articulating data characteristics and research results

  • Able to work effectively as an individual and in a team.

 

We regret that only shortlisted candidates will be notified.


 
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Contact Information

 
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