PhD Studentship: Deep Learning for Multimodal Information Fusion

Location:

Department of Computer Science, Streatham Campus, Exeter

The University of Exeter’s Department of Computer Science is inviting applications for a PhD studentship funded by the Faculty of Environment, Science and Economy to commence on 23 September 2024 or as soon as possible thereafter. For eligible students the studentship will cover Home or International tuition fees plus an annual tax-free stipend of at least £19,237 for 3.5 years full-time, or pro rata for part-time study. The student would be based in Department of Computer Science in the Faculty of Environment, Science and Economy at the Streatham Campus in Exeter.

Project Description:

This project focuses on the expanding field of multimodal information fusion, which presents enormous potential across a spectrum of applications, including but not limited to object tracking, object detection, medical data processing, robotics, autonomous driving, scene segmentation, pedestrian and cyclist detection, salient object detection, power facility inspection, surveillance, face recognition, crowd counting, and vital sign measurement. The integration of deep learning into multimodal information fusion has recently attracted significant attention, leading to impressive advancements in algorithms, datasets, and benchmarks. The primary aim of this project is to develop innovative, effective, and efficient deep learning algorithms tailored for the intelligent fusion of multimodal information. It will address several critical issues, such as modality alignment, handling of missing modalities, enhancement of computational efficiency, and the ethical use of AI technologies in multimodal information fusion.

Furthermore, the project will investigate novel applications of deep learning-based multimodal information fusion in diverse fields such as human-centric computing, robot perception, computer vision, and medical information processing. This exploration will include assessing the practical impact and potential transformations brought about by these advanced technological integrations.

The selected PhD candidate will have the opportunity to collaborate with prestigious institutions, including the Personal Robotics Lab at Imperial College London and the University of Sheffield. These collaborations will enrich the research experience, offering unique insights and access to cutting-edge resources and expert guidance.

This PhD project offers a challenging yet rewarding opportunity for a candidate eager to advance the frontiers of deep learning and multimodal information fusion, contributing to significant technological innovations with real-world applications.

International applicants need to be aware that you will have to cover the cost of your student visa, healthcare surcharge and other costs of moving to the UK to do a PhD.

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