Internship - Operational Data Analysis For Optimal Boil-Off Gas Management on Lng-Fueled Containersh H/F

CMA CGM; France; On-site; EUR 7,800 - 15,000; Full time

Job summary

CMA CGM is offering an end-of-studies internship in its CMA Ships Technical Department in Marseille. You will analyze LNG boil-off gas data, study tank behavior, and develop a statistical model to optimize gas management during voyages.

The role requires Bac +5 level engineering studies with strong thermodynamics, fluid mechanics, and programming skills in Fortran and Python. Duration: at least 6 months, with a start date in Q1 2027.

Qualifications

• Bac +5 level, engineering school or Master’s in thermal sciences, energetics, fluid mechanics or modeling and numerical simulation.
• Solid knowledge of thermodynamics, thermal sciences, fluid mechanics and energetics.
• Proficiency in Fortran and Python; C is a plus; experience with numerical methods.

Responsibilities

• Literature review on LNG behavior in storage tanks.
• Data collection from operational databases for the study.
• Fleet data analysis on pressure evolution and BOG generation.
• Propose optimization strategies to reduce BOG losses and quantify LNG savings.
• Write a final report detailing results and insights.

Skills

Thermodynamics

Fluid mechanics

Energetics

Data analysis

Python

Fortran

Numerical analysis

Education

Bac +5 level or Master’s in engineering

Tools

SQL

Job description

YOUR ROLE

As part of your studies, you are currently looking for an end-of-studies internship or thesis project (Bac +5 / engineering school or Master's degree in thermal sciences, energetics or fluid mechanics).

You will join the Technical Department of CMA Ships. Shipping is undergoing a major transformation driven by the decarbonization of maritime transport. During this transition, CMA CGM has chosen Liquefied Natural Gas (LNG) as the marine fuel for its new fleet of container vessels. LNG is stored on board at around -158°C and at atmospheric pressure, in tanks built into the ship's structure (membrane or type C tanks). It produces far lower emissions than conventional marine fuels such as HFO and MDO.

Inside the tank, LNG naturally evaporates because of heat ingress through the walls, and vessel motions (sloshing) increase this evaporation and raise tank pressure. Managing this Boil-Off Gas (BOG) is critical to the safety and operational performance of LNG-powered vessels. Your role will be to analyze operational data from the entire fuel system and develop a statistical model to optimize and minimize the gas sent to the Gas Combustion Unit (GCU). Your work will help improve technical support to vessels in service, help crews manage BOG day to day, and better anticipate events that could cause excessive gas generation or abnormal pressure rise.

WHAT WILL YOU DO?

• Literature review: You will study the existing literature to understand how LNG behaves inside storage tanks.
• Data collection & familiarization: You will get to know the operational databases used to collect fuel system data, and collect the data you need for the study.
• Fleet data analysis: You will analyze and interpret fleet data on pressure evolution and BOG generation.
• Optimization & savings estimate: Using a thermodynamic approach, you will propose an optimization strategy to reduce BOG losses. You will identify the optimal pressure management profile throughout voyages and quantify the potential LNG savings.
• Results & final report: You will analyze the results and write a final report.

WHO ARE WE LOOKING FOR?

• Education: Bac +5 level, engineering school or Master's degree specializing in thermal sciences, energetics, fluid mechanics or modeling and numerical simulation.
• Technical skills:
  • Solid knowledge of thermodynamics, thermal sciences, fluid mechanics and energetics
  • Skills in data analysis and database handling
  • Strong interest in modeling and programming; Fortran and Python required, C is a plus
  • Numerical analysis skills
• Personal qualities: Rigorous, with critical thinking, strong analytical skills and the ability to synthesize.

JOB ENVIRONMENT

• Location: Head Office - Marseille
• Duration: Minimum 6 months
• Internship start date: Q1 2027

Come along on CMA CGM's adventure