Tout savoir sur le métier de consultant RSE
About AYRO
AYRO is a French, Deep Tech startup, with the global ambition of enabling the decarbonization of the shipping industry worldwide. We design, build and sell the OceanWings®, enabling commercial vessels to reduce their fuel consumption and therefore their CO2 emissions by up to 50% using the power of the wind. By 2050, shipping could represent 15% of all CO2 emissions thus the emission reduction potential of our solution could be measured in Gigatons of CO2 in the next 5-10 years.
Our OceanWings 363 have recently been installed on the Canopée shipping vessel who will transport the Ariane 6 rocket from Europe to Kourou in French Guyana and many other large projects are in the works.
Job Overview
As part of the performance team at AYRO's Paris offices, you will be involved in carrying out performance studies commissioned by our clients for projects involving the installation of Oceanwings® on their retrofit or newly built vessels. The aim is to address in a holistic way the impact of integrating a wind propulsion system on a vessel to draw conclusions on its economic, ecological and regulatory relevance in the context of a specific operational profile.
You will also be involved in predicting the performance and optimizing wing settings on ships already operating with Oceanwings®.
With a degree in engineering, you are passionate about technological challenges and have a good knowledge in naval architecture. You are familiar with the operation of a wind-powered vessel and have a solid background in programming using scientific tools (mainly Python, and ideally C++, C# and Java).
Main Missions
In cooperation with the engineer in charge of the performance division, your tasks will include:
• Carrying out "pre-sales" studies including the integration of Oceanwings into ship projects
(naval architecture, configurations), the construction of aerodynamic models, VPP modelling
and routing optimization.
• Identification of the critical phases of the process and the expected outputs; proposal of
appropriate standardizations, validations and visualizations to process the data.
• Developing and improving physical models for predicting the performance of ships equipped
with OWs and competing solutions.
• Framing and participation in projects to develop medium-term analysis and performance
tools.
