The autonomous team at Høvik is now searching for summer students for the summer 2020.
Autonomy is expected to have major impact on how we move goods and people around the world in the future. All major car manufacturers are investing heavily into technologies to make this a reality. Perhaps less known, is that much of the same is happening in the maritime industry. Unlike for cars, the Norwegian industry is a major player within ship technology and is currently spearheading the development of autonomous and remotely operated ships. DNV GL is a part of this and with our purpose of safeguarding life, property and the environment we are preparing for a reality where autonomous and remotely operated systems impact how the world shipping fleet is operated.
As a part of this, the Maritime Transportation programme in Group Technology and Research (GTR) is currently researching situational awareness for autonomous and remotely operated ships. Situational awareness refers to the ability of the ship to perceive its surroundings using sensors which is a prerequisite for automated navigation and collision avoidance. Machine learning algorithms will be an integral part of this system, and research is focused on how we can make sure such systems are safe to use. Relevant topics are; explainable AI, interpretability of deep neural nets and their predictions, safety testing with limited specifications and data, and detection of high confidence mistakes, with the goal of developing the rules and assurance procedures necessary for the adaptation of autonomous ships in a commercial setting.
Summer students have been a part of our team for several summers, working with sensors, algorithms and sensor-fusion for detection of other ships and obstacles. Sensors have included long range LIDAR, thermal camera, maritime RADAR, pan-tilt-zoom daylight camera as well as a high-resolution 4K camera. A rig with these sensors is available, including a system running on the Robotic Operating System (ROS) used for data logging and machine-learning based data analysis. The work has been both highly practical and theoretical, where the students have performed experiments with the rig outside our office in Høvik, logging suitable scenarios with boats, kayaks and other relevant objects, as well as developed algorithms for data processing and object detection. The students have also added additional functionality as needed in order to facilitate testing, assessment of performance and developed suitable test criteria for such systems.
As a part of our team, you can expect to work within interesting and highly relevant topics such as deep learning, interpretability and explainability of deep learning systems, computer vision and sensor fusion algorithms, aligned with the needs and research interests at DNV GL. It is preferable that you have some programming skills and a bonus if you have some experience with computer vision, sensor fusion and machine learning algorithms from studies, previous summer jobs or extracurricular activities. It will also be regarded positive if you are interested in writing your project- and/or master’s thesis on a related subject. Researchers from DNV GL can offer co-supervision and support to such work and provide data and equipment as necessary.
Managers will select summer students based on their business needs aligned with your education, experience and background. In the application letter, please formulate how you believe you can contribute to the ongoing research within the aforementioned subjects during the summer. How does your research interest fit with the goals and topics of the summer job? Please also indicate your master program specialization and/or main area of study during the application process.
Primarily we are seeking 3rd and 4th year students with relevant Master Program specialization in:
- Marine Technology
- Cybernetics / Robotics
- Data Science / AI
- Mathematics / Statistics
- Computer Science / Information Science