Rapid 3D Reconstruction of Coral Ecosystems from Multi-Camera Imagery
PhD scholarship (deadline 23 Feb)

The Schools of Computer Science and Electronic Engineering and Biological Sciences at the University of Essex are pleased to announce an exciting PhD studentship.

By using camera systems taking images from multiple angles, compelling 3D models of coral reef structures can be built using a photogrammetry technique called "structure from motion". An alternative is a technique known as "visual SLAM", which runs in real time. By adopting elements of both techniques, this studentship will develop a hybrid approach to support marine surveying, in particular for threatened coral reefs. For example, by producing 3D models of reefs, biodiversity can be monitored in ways that are currently not possible using manual measurements taken in-situ by divers.

The successful applicant will be supervised by Dr Jon Chamberlain and Dr Adrian Clark (in CSEE), with regular input from Prof David Smith and Dr Philippe Laissue (in SBS) and will be part of a growing inter-disciplinary group focusing on state-of-the-art computer applications in marine sciences.

Deadline for submission is 23 February, 2018. The studentship will start in April 2018 and will receive a scholarship for three years (subject to satisfactory progression). The scholarship includes a fee waiver equal to the Home/EU fee of £4,120 (international students will need to pay the balance of their fees) and a stipend equivalent to the Research Councils UK National Minimum Doctoral Stipend (£14,553 in 2017-18).

The successful candidate would be expected to speak fluent English and meet our English Language requirements, if applicable, and will have a good honours BSc or BEng degree (1st, 2:1, or equivalent) in computer science, electronic engineering, mathematics, biological sciences or related subject.

An MSc with Merit or Distinction is desirable (but not essential for students with a first class degree). Strong analytical and mathematical skills are required, as well as good programming skills. Knowledge of photogrammetry, computer vision techniques and/or marine ecology are desirable but not essential.

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