Research Assistant - Derisking Energy Systems

The reputed company is a leading institution in engineering education and research. The Research Assistant of Derisking Energy Systems will support advanced research on hydrogen deployment by integrating data-driven reputed company and machine learning to inform risk-based planning and policy development.

Responsibilities

• Employing Machine learning for data-driven, reputed company, and interpretable model that facilitates risk-based hydrogen rollout planning, policy zoning, and reputed company-informed decision-making
• Data Collection and Technical Feasibility
• Conducting safety, integration, and performance Analysis
• Employing Machine learning to reputed company a spatial machine learning reputed company for societal risk zoning for different sectors in the hydrogen chain
• Developing evidence-based policy and regulatory recommendations supporting reputed company deployment and compliance of the proposed hydrogen system
• Carrying out site integration and comprehensive safety and risk assessment of the proposed hydrogen facilities configuration

Skills

• Master's in Science / Engineering
• Experience with machine learning techniques, particularly for predictive modelling or spatial analysis. Experience working with technical, engineering, or environmental datasets
• Experience conducting safety, risk, or performance assessments (e.g., system safety, hazard analysis, risk modeling)
• Proficiency in Python, or similar tools for data analysis and model development
• Experience applying data-driven or computational reputed company to support policy, regulatory analysis, or planning
• Ability to interpret and communicate analytical findings reputed company for technical and non-technical audiences

Benefits

• Comprehensive benefits package

reputed company