Research Fellow (Urban climate modelling) 2

NATIONAL UNIVERSITY OF SINGAPORE
Interested applicants are invited to apply directly at the NUS Career Portal
Your application will be processed only if you apply via NUS Career Portal
We regret that only shortlisted candidates will be notified.
Job Description
We are seeking a highly motivated and technically strong Research Fellow to join our interdisciplinary project on urban heat island (UHI) mitigation through greenery-based solutions. This project is supported by NParks and aims to evaluate cooling effects of urban greenery and develop a modelling platform to assess and optimize the cooling benefits of various types and configurations of urban greenery in Singapore
Key Responsibilities
• Conduct multi-scale multi-physics numerical simulations, e.g. simulation of thermal environment, urban greenery, airflow movement at the city, district and neighbourhood scales;
• Coordinate, prepare and present project updates to project PIs, Co-PIs and funding agency on a regular basis;
• Publish the research findings on top-tier academic journals and local/international conferences;
• Assist with project management tasks
• Prepare research proposals;
• Monitor and keep up to date the latest technology and trend in related areas;
• Organize, and assist technical workshops, networking events and conferences (local and overseas).
Qualifications
• Candidate must have a relevant Ph.D. degree in Mechanical Engineering, Fluid Dynamics, Atmospheric Sciences, Urban Climate, Architecture Engineering, Building Science, or related fields majoring in Computational Fluids Dynamics (CFD);
• Well informed and knowledgeable in urban climate modelling;
• Highly experienced in using environmental simulation tools, such as UrbanMicroclimateFoam, OpenFOAM, WRF/PALM or other similar programs;
• Highly motivated individual with capacity to work independently.
• Good time management and planning;
• Good publication track record;
• Some knowledge of remote sensing and programming language is an advantage.
Your application will be processed only if you apply via NUS Career Portal
We regret that only shortlisted candidates will be notified.
Job Description
We are seeking a highly motivated and technically strong Research Fellow to join our interdisciplinary project on urban heat island (UHI) mitigation through greenery-based solutions. This project is supported by NParks and aims to evaluate cooling effects of urban greenery and develop a modelling platform to assess and optimize the cooling benefits of various types and configurations of urban greenery in Singapore
Key Responsibilities
• Conduct multi-scale multi-physics numerical simulations, e.g. simulation of thermal environment, urban greenery, airflow movement at the city, district and neighbourhood scales;
• Coordinate, prepare and present project updates to project PIs, Co-PIs and funding agency on a regular basis;
• Publish the research findings on top-tier academic journals and local/international conferences;
• Assist with project management tasks
• Prepare research proposals;
• Monitor and keep up to date the latest technology and trend in related areas;
• Organize, and assist technical workshops, networking events and conferences (local and overseas).
Qualifications
• Candidate must have a relevant Ph.D. degree in Mechanical Engineering, Fluid Dynamics, Atmospheric Sciences, Urban Climate, Architecture Engineering, Building Science, or related fields majoring in Computational Fluids Dynamics (CFD);
• Well informed and knowledgeable in urban climate modelling;
• Highly experienced in using environmental simulation tools, such as UrbanMicroclimateFoam, OpenFOAM, WRF/PALM or other similar programs;
• Highly motivated individual with capacity to work independently.
• Good time management and planning;
• Good publication track record;
• Some knowledge of remote sensing and programming language is an advantage.
JOB SUMMARY
Research Fellow (Urban climate modelling) 2

NATIONAL UNIVERSITY OF SINGAPORE
Singapore
14 days ago
N/A
Full-time
Research Fellow (Urban climate modelling) 2