Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

For more details, please view https://www.ntu.edu.sg/erian

We are looking for a Senior Research Fellow to conduct a project in a multi-disciplinary team. The role will focus on the development of process models, analytical frameworks, perform scenario and sensitivity analyses, and interpret results for research publications and technical reports. The position also requires collaboration with international team members and support project coordination, documentation and dissemination of research outcomes.

Key Responsibilities:

• Collection of data from literature and industry

• Provide estimations for data not available in literature

• Develop and apply process, analytical and geospatial models to evaluate technological systems.

• Conduct quantitative analysis, and performance assessments using appropriate modelling tools and datasets

• Perform scenario, sensitivity, and uncertainty analyses to support research objectives.

• Prepare manuscripts, reports and presentations

• Guide and train students and junior lab members

• Maintain complete documentation for modelling methods and analysis used

• Regular communications with supervisors on progress and report writing

Job Requirements:

• PhD degree in chemical engineering or related field

• At least 3 years of relevant experiences in process modelling

• Good written and oral communication skills

• Proficiency in ASPEN-HYSYS and Geographic Information System tools

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