Research Fellow (Water Resources Engineering)

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 60,000 - 95,000; Full time

Job summary

NANYANG TECHNOLOGICAL UNIVERSITY's School of Civil and Environmental Engineering invites applications for a Research Fellow to work on risk analysis of subdaily rainfall events, focusing on rainfall networks, statistics, and climate-change impact assessment.

Requirements: PhD in Water Resources Engineering or Hydrology; strong publication record; proficiency with MATLAB, Python, R, and ArcGIS; knowledge of network analysis or machine learning; post‑doc experience is a plus.

Qualifications

• PhD required in water resources engineering or hydrology.
• Strong publication record required.
• Familiar with MATLAB, Python, R, and ArcGIS.
• Knowledge of network analysis, machine learning, neural networks, rainfall analysis, or multivariate statistics is a plus.
• Post‑doc experience is a plus.

Responsibilities

• Carry out research on rainfall analysis, network construction, and climate-change impact assessment.
• Publish journal papers.
• Coordinate with other research staff or students on project discussions and deliverables.

Skills

Rainfall analysis

Machine learning

Neural networks

Network analysis

Statistics

Education

PhD in Water Resources Engineering or Hydrology

Tools

MATLAB

Python

R-language

ArcGIS

Job description

School of Civil and Environmental Engineering (CEE) is a leading school for sustainable built environment. The key objective is to support efforts to spearhead tertiary education, advance research innovations and provide professional services.

We are looking for a Research Fellow to work on an on-going project on risk analysis of subdaily rainfall events. The role will focus on rainfall network and statistical analysis, rainfall extreme evaluation, and climate change impact assessment.

Key Responsibilities:

• Carry out research works on rainfall analysis, network construction, and climate change impact assessment
• Publish journal papers
• Coordinate with other research staff or students in project discussions and deliverables

Job Requirements:

• PhD in Water Resources Engineering, Hydrology, or related fields
• A good academic publication record
• Familiar with a few key engineering software such as MATLAB, Python, R-language, and ArcGIS, etc.
• Good to have knowledge of network analysis, machine learning, neural networks, rainfall analysis, or multivariate statistical analysis skills
• Working experience is not required but some post-doc experience will be a plus

We regret to inform that only shortlisted candidates will be notified.