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Nanyang Technological University Singapore

Research Fellow (ABM & Simulation)

Nanyang Technological University Singapore

Singapore · Tempo pieno

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Esperienza
Qualsiasi
Stipendio
Aperture
1
Pubblicato
3 settimane fa
Modalità di lavoro
In ufficio
Istruzione
Dottorato di ricerca
Requisiti di ammissibilità
Candidates with a PhD in relevant fields and expertise in ABM are encouraged to apply.
Riprendere
È necessario candidarsi

Dove lavorerai

Descrizione del lavoro

About the Role

Nanyang Technological University Singapore, specifically the School of Civil and Environmental Engineering (CEE), is seeking a Research Fellow to lead Module D of the project “Building Community Resilience Against Sea-Level Rise.” This project, funded by the National Parks Board (NParks) under the Marine Climate Change Science Coastal Protection (MCCS) call, aims to integrate geospatial modeling, behavioral risk perception, agent-based simulation, and community engagement to support Singapore's coastal adaptation strategies. The role involves close collaboration between CEE and the Wee Kim Wee School of Communication and Information (WKWSCI).

Key Responsibilities

  • Spearhead the design, calibration, and validation of an Agent-Based Model (ABM) as part of Module D.
  • Integrate outputs from Life Cycle Assessment (LCA) based archetypes into the ABM agent profiles.
  • Develop a simulation interface suitable for handover to government agencies.
  • Perform scenario planning, Monte Carlo simulations, and sensitivity analyses.
  • Create workshop and training materials for the effective transfer of the simulation tool to agencies.
  • Contribute to project reports, present findings at conferences, and publish in high-impact academic journals.

Job Requirements

  • Possess a PhD in Computer Science, Computational Social Science, Complex Systems, Operations Research, or a closely related field.
  • Demonstrate strong proficiency in Agent-Based Modeling (ABM) using Python (Mesa) and/or NetLogo.
  • Have prior experience in empirical ABM calibration and conducting Monte Carlo/sensitivity analyses.
  • Exhibit the capability to develop user-friendly simulation interfaces.
  • Show a proven history of publications related to ABM research.

Additional Information

Only shortlisted candidates will be contacted.

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