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Are you ready to embark on a thrilling journey in the heart of maritime innovation Norsepower a pioneer in sustainable shipping solutions is bringing sails back to shipping and saving the planet at the same time. We are now seeking a dynamic and developmentoriented Performance Modeling Trainee to join our team.
Norsepower Rotor Sail harnesses the wind to maximize fuel efficiency and reduce emissions of ships. It is the first commercially available mechanical sail for large vessels. It has a proven track record of successful operation since 2014. Norsepowers project services cover all phases from sales to project delivery and operational support. Each project is planned according to the clients needs and preferences.
In this role you will be part of an R&D team focusing on developing ways to enhance overall performance and sail efficiency. As a Performance Modeling Trainee your responsibility is to assist your team in utilizing wind propulsion more optimally. The responsibility ofthe R&D team is tocombine theoretical and scientific knowledge with a wealth of operational data to develop performanceenhancement strategies.As part of this work you will model complex physical phenomena using Matlab and Python. The role can be modified based on your skills and interests such as data analytics
To succeed in this position we expect you to have a relevant study background and good skills in Python and Matlab.Being consistently eager to learn developing oneself and thriving in a fastgrowing company are key attributes. Our office is located in Ruoholahti. We operate in a flexible hybrid model encouraging attendance at the office 23 times a week to foster a collaborative work environment.
Set sail on a career path where innovation meets opportunity and apply now! Please submit your CV and motivation letter in PDF format by the latest 26.02.2024
We recommend applyingas soon as possible as we may proceed with potential candidates during the application period.
For more information about the recruitment process please contact
Full Time