Entrepreneurship in the territories: is it the right time?
About AYRO
AYRO is a French, Deep Tech startup, with the global ambition of enabling the decarbonization of the maritime 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: 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 in AYRO's Paris office, you will be involved in the performance assessment of Oceanwings and the vessels equipped with them. The aim is to holistically address the impact of a wind propulsion system on a vessel in order to draw conclusions on its economic, ecological and regulatory relevance within a specific operational profile. The evaluation of the measured performance of the Oceanwings will provide input for future optimization of the Oceanwings.
If you have a master’s degree in naval engineering, you have experience in data analysis, you are passionate about technological challenges, you are interested in the maritime sector and are sensitive to environmental issues, this job is for you.
Main Missions
In cooperation with the Performance Manager and the performance engineers, your missions will include:
· Development of analysis tools: Continue the development, mostly in Python, of algorithms for processing, analyzing and displaying data collected on board vessels equipped with Oceanwings.
· Production of performance reports of navigations for internal and client use.
· Improvement of predictions: Check the predictions against the at-sea measurements and collaborate with simulation and modeling engineers to fine-tune the models for optimal alignment with the measured data
