CCUS Research Engineer: Maritime Transport Modeller

Singapore Institute of Technology; Singapore; On-site; SGD 60,000 - 95,000; Part time

Job summary

Singapore Institute of Technology invites a Research Engineer (Carbon capture, Utilisation and Storage) to join a cross-disciplinary team in a fixed-term role. You will collect data, build techno-economic models, and develop machine-learning surrogates for cost screening related to CO2 maritime transport.

Applicants should hold a relevant degree and strong Python skills, with experience in data analysis and modelling.

Qualifications

• Bachelor’s or Master’s degree in Chemical Engineering, Energy Systems, Data Science, Computer Science, Environmental Engineering, Maritime Engineering, or related discipline.
• Good programming skills in Python.
• Experience in data analysis, scientific computing, modelling, or software development.
• Knowledge of techno-economic analysis, energy systems, sustainability, CCUS, or maritime transport is preferred.
• Basic knowledge of machine learning, uncertainty analysis, or optimisation advantageous.
• Experience with web-based tools or dashboards such as Streamlit, Dash, Flask, or Plotly is desirable.
• Good written and verbal communication skills.
• Able to work independently and as part of a multidisciplinary research team.
• Able to manage tasks, meet deadlines, and produce well-documented work.

Responsibilities

• Support the research team and students to ensure project milestones and deliverables are met.
• Collect, clean, organise, and analyse data related to CO2 maritime transport, port operations, CO2 liquefaction, storage, vessel logistics, and regional CCUS value chains.
• Build and maintain a parameter registry with data sources, assumptions, parameter ranges, and confidence ratings.
• Develop and validate a bottom-up techno-economic analysis model for CO2 maritime transport.
• Conduct uncertainty analysis, scenario analysis, and sensitivity analysis for Singapore-linked CO2 transport corridors.
• Develop and test machine learning surrogate models for rapid cost screening.
• Prepare technical reports, research documentation, figures, presentations, journal manuscripts, and conference materials.
• Support student projects in data processing, model testing, visualisation, and prototype testing.
• Assist in project coordination, progress reporting, documentation, and research administration.
• Follow SIT requirements on data management, research integrity, intellectual property, cybersecurity, and workplace safety.
• Communicate with internal or external stakeholders to ensure project deliverables are met.
• Any ad-hoc duties assigned by Supervisor.

Skills

Python

Data analysis

ML basics

Uncertainty analysis

Data visualization

Education

Bachelor’s or Master’s degree

Tools

Streamlit

Dash

Flask

Plotly

Job description

Singapore Institute of Technology invites a Research Engineer (Carbon capture, Utilisation and Storage) to join a cross-disciplinary team in a fixed-term role. You will collect data, build techno-economic models, and develop machine-learning surrogates for cost screening related to CO2 maritime transport.

Applicants should hold a relevant degree and strong Python skills, with experience in data analysis and modelling.