Project Revolution Green

Project Revolution Green is an interdisciplinary summer project focused on developing the sustainable ferries of tomorrow. In 2024, we had 12 students from five different universities across three locations working together to model the Flakk-Rørvik Ferry “Munken”. In 2025, the goal is to have 16 students working together as a team. 

In 2025, the summer students will build on the foundation laid by the 2024 interns, who developed a hull, an autonomous control system, integration with simulation software, and a data visualisation platform.

All interns will be supported by experienced mentors at KONGSBERG, who will help define tasks that align with the interns' academic skills and professional interests. At the end of the project, the team will present their work to the executive managment of KONGSBERG, alongside other student project groups. This experience will be challenging but also fulfilling, providing a great opportunity to apply academic knowledge to a real-world project.

We are looking for a diverse group of students to contribute to various aspects of the project. The project roles and team locations are subject to change.

Location and role(s):

Lysaker (or Ålesund), Norway

Control Algorithms Engineer: Develop algorithms to control the ship, allocate thrusters, and ensure the ship follows the designated path. This includes working with Simulink and ShipX, and programming in MATLAB, C+ or Python.

• Qualifications: Strong background in software development, potentially combined with marine expertise.

Data Science Engineer: Responsible for visualising findings in real-time and post-simulation analysis, as well as designing and analysing simulation scenarios with a focus on optimization. This role also involves comparing historical data with simulated data and developing solutions to optimize the ferry.

• Qualifications: Background in Data Engineering, Data Science, or Industrial Economics and Technology Management, preferably with a focus on marine industries.

Simulator Manager: Serve as the link between other teams, responsible for integrating different parts, such as the hull, control system, and environment, into the ship simulation software. This role involves using ShipX, developed by SINTEF, and performing Functional Mock-up Units (FMU) wrappings of different parts of the simulation.

• Qualifications: Background in Marine Technology or Computer Science is highly valued. Experience in Game Physics or Computational Fluid-Solid Mechanics is essential. Familiarity with deployment platforms like Docker is highly valued, as is an understanding of validation and verification processes.

Ålesund, Norway

Hydrodynamics Engineer and/or Ship Design Engineer: The primary task is to refine the design of the ferry hull, optimizing for hydrodynamic efficiency. This includes modeling the hull and conducting various fluid dynamics analyses.

• Qualifications: Background in Marine Technology or Naval Architecture. Understanding of ship dynamics is essential.

Visualisation and Virtual Reality (VR) Engineer: The focus is to create visualisations of the simulations and ferry modules in VR. This may be subject to changes. 

• Qualifications: Background in Games Engineering, Automation, Software Engineering, or Computer Science. Experience in 3D game design is crucial, with the ability to accurately visualise environments and data, regardless of specific physics, mathematics, or marine expertise.

Mumbai, India

Reinforcement Learning Engineer: The focus is to refine the RL-based control algorithm that includes obstacle avoidance. Using state-of-the-art algorithms, you will train the model to navigate the path successfully and avoid obstacles, such as passing ships.

• Qualifications: Background in Data Science, Computer Science, or Robotics. Experience with Reinforcement Learning (RL) is required. Familiarity with physics-based deep learning or physics-informed neural networks is an added advantage. Marine expertise is highly valued.

Kongsberg, Norway

Optimal Power Plant Utilization Engineer: The task is to develop and simulate optimal configurations for power plant systems, including switchboards, generators, thrusters, and batteries, based on real-time load profiles. Analyse and optimise engine and propeller operations in various vessel modes to enhance efficiency and minimize energy consumption. Work with onboard decision support systems to ensure safe and efficient operation of the vessel.

• Qualifications: Background in Electrical Engineering with knowledge of power systems and electrical distribution. Interest in optimization techniques, energy efficiency, and real-time control systems. Skills in programming and data analysis (e.g., Python, MATLAB).

Data-Driven Power Loss and Efficiency Model Engineer: Your primary responsibilities are to build and validate data-driven models for accurate estimation of power loss and efficiency in ship electrical systems. Create libraries for electrical producers, consumers, and distribution systems tailored to vessel configurations. Explore machine learning techniques like concept drift, rolling windows, and recursive adaptation for real-time model improvement. Work on integrating real-time measurements and virtual sensors for enhanced system insights.

• Qualifications: Background in Electrical Engineering with an interest in data-driven modeling and machine learning. Understanding of electrical systems such as generators, motors, and converters. Skills in programming and data analysis (e.g., Python, MATLAB).”

Application Process:

If you are passionate about engineering, eager to apply your skills to real-world challenges, and excited about the opportunity to work in a forward-thinking environment, we encourage you to apply. Please submit your application, including a resume and cover letter detailing your relevant experience and area of interest.

General information:

Job typ: Fulltime, Internship

Duration: Mid-June to mid-August

Location(s): Lysaker / Ålesund, Norway, Mumbai, India

Deadlines and internship release: The application deadline is February 28, 2025. Kindly note that project offerings may slightly vary from year to year, ensuring a dynamic and enriching experience aligned with your field of interest.