Research Fellow (Renewable Energy Planning)

National University of Singapore; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

An established research institution is seeking a Research Fellow to tackle pressing challenges in climate change and renewable energy management. This role involves developing innovative models for energy capacity expansion and collaborating with leading experts in the field. The successful candidate will contribute to impactful research and help shape the future of sustainable energy solutions. Join a vibrant team dedicated to advancing knowledge and making a difference in the world through cutting-edge research. This is an exciting opportunity for those passionate about engineering and environmental sustainability.

Qualifications

• PhD in relevant fields such as civil engineering or machine learning.
• Extensive experience in developing complex computer codes.

Responsibilities

• Develop and enhance energy capacity expansion models.
• Create frameworks for resilient power system planning.

Skills

Python

R

Shell scripting

Machine learning

Optimization

Education

PhD in Civil Engineering

PhD in Hydrology

PhD in Water Resources Engineering

Job description

Company Description:

The National University of Singapore (NUS) 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 a Research Fellow position focused on climate change, weather extremes, energy capacity expansion modelling, and renewable energy management. This position is based in the Department of Civil and Environmental Engineering (CEE) at NUS.

The selected Research Fellow will be responsible for:

1. Developing and enhancing existing energy capacity expansion models.
2. Creating a novel integrated framework that incorporates climate extremes for resilient power system planning.
3. Collaborating with the Principal Investigator on reports and project deliverables.
4. Assisting in co-supervising PhD students.

Job Requirements:

• PhD 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, Shell).
• Proven ability to write papers for leading research journals and conferences.
• Excellent written and spoken communication skills.
• Open to fixed-term contracts.

Additional Information:

• Location: Kent Ridge Campus
• Organization: College of Design and Engineering
• Department: Civil and Environmental Engineering
• Employee Referral Eligible: No
• Job Requisition ID: 28712