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Postgraduate research project

Development of a free-running CFD-based collision avoidance model for maritime autonomous surface ships (MASS) in restricted waters

Funding
Competition funded View fees and funding
Type of degree
Doctor of Philosophy
Entry requirements
2:1 honours degree View full entry requirements
Faculty graduate school
Faculty of Engineering and Physical Sciences
Closing date

About the project

We are currently looking for a motivated and passionate PhD student to join our maritime engineering research team at the University of Southampton. We are developing a collision avoidance model for autonomous surface ships operating in restricted waters.

The use of automation technologies, decision support, and autonomous navigation systems in shipping is on the rise. In addition to avoiding groundings and enabling stable navigation through severe weather conditions at sea, collision avoidance is the main task for automated or autonomous navigation systems.

This will enable developing a free-running Computational Fluid Dynamics (CFD)-based collision avoidance model, which will enable autonomous surface ships to navigate safely and efficiently in challenging and complex environments. The model will take into account various environmental factors, such as tides, currents, wind and obstacles.

As a PhD candidate in this project, you will have the opportunity to work with cutting-edge technology and collaborate with leading researchers in the field. You will be responsible for developing and testing the collision avoidance model using CFD simulations and real-world data from actual maritime environments. You will also be involved in designing and implementing algorithms for decision-making and control in autonomous navigation.

In addition to the research work, you will also have opportunities to attend international conferences, workshops, and seminars, and to present your research findings to the academic and industrial community.