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, we had 17 students from ten different universities across four locations working together.

In 2026, the summer students will build on the foundation laid by the 2024 and 2025 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(s) and role(s):

Location: Lysaker, Norway

Role(s):

Control Algorithms Engineer(s): Control Algorithms Engineer(s): Develop algorithms to control the ship, allocate thrusters, and ensure the vessel follows its designated route. Tasks include working with Simulink and ShipX and programming in MATLAB, C++, or Python.

• Qualifications: Strong background in control systems, ideally combined with marine expertise.

Data Science Engineer(s): 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.

Software Engineer: Design and implement user interfaces for the project’s analysis dashboard, supporting real-time monitoring, result visualization, and interactive exploration of simulation and operational data. Collaborate with data scientists and engineers to ensure a seamless user experience, integrating backend analytics with frontend components (Power BI). Additional responsibilities include API development, system integration, and cloud deployment on Azure Portal.

• Qualifications: Degree in Software Engineering or Computer Science. Experience with both backend and frontend technologies (especially React and Power BI) is highly valued. Familiarity with cloud platforms such as Docker, Azure DevOps, and knowledge of containerization, CI pipelines, and DevOps practices are advantageous.

System Engineer/Project Engineer: Serve as the central integrator, managing technical and project dependencies, and facilitating cross-disciplinary collaboration. Bridging teams such as control algorithms, hydrodynamics, software, and data science, this role ensures the timely delivery of resources and support. Responsibilities include maintaining project alignment, overcoming integration challenges, and documenting technical requirements and status reports for internal and executive stakeholders.

• Qualifications: Background in System Engineering, Project Engineering, Cybernetics, Marine Engineering, or Industrial Economics and Technology Management, ideally with a marine focus.

Virtual Reality (VR) Engineer(s) and 3D Artist(s): Develop immersive simulations and gamified training modules replicating crew operations on the MF Munken, focusing on environmental realism and operational controls. Enable virtual practice of critical tasks such as navigation, engine maintenance, and radar system checks.

• Qualifications: Background in Games Engineering, Automation, Software Engineering, or Computer Science. Expertise in 3D game design, physics, mathematics, or data visualization is highly valued. Experience in Unreal Engine and 3D visualization is essential. 

At least one VR Engineer and one 3D Artist are required to collaborate as a team.

Location: Ålesund, Norway

Role(s):

Hydrodynamics Engineer(S)/Simulation Engineer(S): Integrate components such as the hull, control system, and environment into ship simulation software, using tools like ShipX and VeSim (developed by SINTEF), and perform Functional Mock-up Unit (FMU) wrapping. ShipX provides hydrodynamic analysis, while VeSim simulates vessel navigation based on the control system. Collaborate across teams to ensure cohesive integration.

• Qualifications: Background in Naval Architecture or Marine Technology, with specialization in hydrodynamics. Understanding ship dynamics is essential. One engineer will ensure Simulink simulations from the Controls team align with ShipX, and another will handle integration of other components in ShipX.

Location: Mumbai, India

Role(s):

AI Navigation and Docking: 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.

Location: Kongsberg and/or Lysaker, Norway

Role(s):

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 Cybernetics, 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 Cybernetics, 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, transcript 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, 2026, with hiring decisions made on a rolling basis as suitable candidates are identified. Kindly note that project offerings may slightly vary from year to year, ensuring a dynamic and enriching experience aligned with your field of interest.