Research Fellow (Energy capacity modeling)

National University of Singapore; Singapore; On-site; SGD 20,000 - 60,000; Full time

Job summary

The National University of Singapore invites applications for a Research Fellow position focusing on climate change and energy security. The role involves developing AI models and collaborating on research projects within the Department of Civil and Environmental Engineering. Ideal candidates will have a PhD in relevant fields and strong programming skills.

Qualifications

• PhD degree in relevant fields required.
• Extensive experience in developing complex computer codes.
• Ability to write and publish in leading journals.

Responsibilities

• Develop AI-powered advanced energy capacity expansion models.
• Create integrated frameworks for water and energy security assessment.
• Collaborate on reports and project deliverables.
• Co-supervise PhD students.

Skills

Python

R

Shell scripting

Communication

Education

PhD in civil engineering

PhD in hydrology

PhD in water resources engineering

PhD in optimization

PhD in seasonal forecasting

PhD in machine learning

Job description

Company Description

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore.

Job Description

Applications are invited for Research Fellow positions focused on climate change, weather extremes, and energy security assessment. This role 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:

1. Developing AI-powered advanced energy capacity expansion models.
2. Creating a novel integrated framework that incorporates climate extremes for water and energy security assessment.
3. Collaborating with the Principal Investigator on reports and project deliverables.
4. Co-supervising PhD students.

Job Requirements

• A PhD degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or related fields.
• Extensive experience in developing complex computer codes, e.g., in Python, R, or Shell scripting.
• Ability to write and publish papers in leading research journals and conferences.
• Good written and spoken communication skills.
• Open to fixed-term contract employment.

Additional Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department: Civil and Environmental Engineering

Employee Referral Eligible: No

Job Requisition ID: 28975