Research Fellow (Nature-positive power grid decarbonisation)

NATIONAL UNIVERSITY OF SINGAPORE; Pasir Panjang; On-site; MYR 100,000 - 150,000; Full time

Job summary

A leading educational institution is seeking a Research Fellow to work on climate change and energy security assessment. Responsibilities include developing simulation models and collaborating on reports. Candidates should have a PhD in a related field and strong coding skills in Python or R. Good communication abilities are essential. This role is open to fixed-term contracts.

Qualifications

• PhD degree in civil engineering, hydrology, or related fields.
• Experience in developing complex computer codes.
• Strong communication skills in writing and speaking.

Responsibilities

• Develop data-driven water & power-grid simulation models.
• Create a framework for energy security assessment.
• Collaborate on reports and project deliverables.
• Co-supervise PhD students.

Skills

Machine learning

Complex computer code development

Written and spoken communication

Education

PhD in civil engineering or related field

Tools

Python

R

Shell

Job description

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.

Research Fellow (Nature-positive power grid decarbonisation)

Applications are requested for Research Fellow positions on climate change, weather extremes, and energy security assessment. This position will be based in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS).

The selected candidate will be responsible for:

• Developing data-driven water & power-grid simulation, optimisation, and control models
• Creating a novel integrated framework that incorporates climate extremes for energy security assessment
• Collaborating with the PI on reports and project deliverables
• Co-supervising PhD students

Qualifications

• Possess a PhD degree in civil engineering, hydrology, water resources engineering, optimization and control, seasonal forecasting, machine learning, or from similar programs.
• Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell.
• Ability to construct and write papers for leading research journals and conferences.
• Good written and spoken communication.
• Open to fixed-term contract.