Industrial Safety Intern: 3D Fire & Gas Mapping & Detection

Genesis Oil and Gas Consultants; Nanterre; On-site; EUR 13,000 - 17,000; Part time

Job summary

Technip Energies is offering a six-month internship in Industrial Safety Engineering focused on optimizing Fire and Gas detection through 3D mapping studies. You will join the HSE Design team in Paris to develop detection strategies for oil, gas, petrochemical, and renewable projects.

The role emphasizes learning Fire & Gas mapping methodologies, software tools, and applying simulations to improve detector placement while supporting project teams across disciplines.

Qualifications

• Student nearing end of an engineering program focused on Industrial Risk or Process Engineering.
• Very good command of English is required for multicultural teams.
• Excellent proficiency in Microsoft Office (Word, Excel, PowerPoint, Adobe Acrobat).
• Knowledge of fire and gas detection methods is a plus.

Responsibilities

• Understand fundamentals of fire and gas detection technologies.
• Examine methodologies, assumptions, criteria and results of past Fire & Gas Mapping studies.
• Conduct a literature review on Fire & Gas Mapping advancements.
• Familiarize with modeling tools such as in:Flux.
• Perform simulations and sensitivity analyses.
• Propose improvements to methodologies and tool usage and optimization of detection system design.
• Prepare a summary documenting conclusions and recommendations.

Skills

Industrial risk

Process engineering

English language

MS Office

Education

Engineering degree candidate

Master’s in Industrial Risk

Tools

in:Flux

Fire & Gas mapping software

Job description

Technip Energies is offering a six-month internship in Industrial Safety Engineering focused on optimizing Fire and Gas detection through 3D mapping studies. You will join the HSE Design team in Paris to develop detection strategies for oil, gas, petrochemical, and renewable projects.

The role emphasizes learning Fire & Gas mapping methodologies, software tools, and applying simulations to improve detector placement while supporting project teams across disciplines.