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PhD in Multimodal Learning and Sensor Fusion for Vessel Monitoring Using Vision and Underwater Acoustics University of Southampton in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Competition funded PhD project. Funding details are not specified in the post beyond competition funding; see the fees and funding page for full information.
Deadline
Jan 15, 2027
Country
United Kingdom
University
University of Southampton
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About this position
University of Southampton is advertising a PhD project titled “Multimodal learning and sensor fusion for vessel monitoring using vision and underwater acoustics.” The project sits in the Faculty of Engineering and Physical Sciences and focuses on combining machine learning, multimodal fusion, underwater acoustics, computer vision, and signal processing to improve vessel detection, characterisation, localisation, and tracking in rivers and coastal waters.
The research asks how shore-based cameras and hydrophone arrays can work together, and how visual information can strengthen acoustic monitoring when cameras can no longer observe. Possible methods include cross-modal representation learning, knowledge transfer between modalities, uncertainty-aware fusion, and probabilistic tracking. The project also mentions the use of AIS data where available, and evaluation of multimodal, vision-only, and acoustic-only approaches under degraded sensing and missing modalities.
The project is based on an existing field dataset and access to hydrophone arrays, cameras, and the University of Southampton’s Iridis high-performance computing facilities. Further field measurements may extend the dataset. The supervisory team is described as having complementary expertise in underwater acoustics, signal processing, and maritime engineering, with applications in waterway management and future autonomous vessel operations.
Funding: The project is marked competition funded. The post does not give a stipend amount or full funding breakdown, so applicants should check the funding page for details.
Eligibility: A 2:1 honours degree is required. This is a Doctor of Philosophy project.
Deadline: 15 January 2027.
How to apply: Read the project page, review the full entry requirements, and follow the university’s postgraduate research application process. Use the project link for the official application information and funding details.
Funding details
Competition funded PhD project. Funding details are not specified in the post beyond competition funding; see the fees and funding page for full information.
What's required
Applicants should have a 2:1 honours degree. The project is a Doctor of Philosophy research degree and is suited to candidates interested in machine learning, multimodal sensing, underwater acoustics, signal processing, maritime engineering, and probabilistic tracking.
How to apply
Review the project page and the full entry requirements, then use the university's PhD application process linked from the project page. Check the fees and funding information before applying.
More information can be found here
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