Wednesday, September 1, 2010

PHD: open post in image-based object recognition at Edinburgh

University of Edinburgh, School of Informatics

Applications are invited for one fully funded PhD student to work in the School of Informatics on an EC funded project entitled "Fish4Knowledge: Supporting humans in knowledge gathering and question answering w.r.t. marine and  environmental monitoring through analysis of multiple video streams". 

Informatics at Edinburgh is one of the top-ranked departments of Informatics in Europe.

The consortium's project goal is to investigate: information abstraction and storage methods for reducing the massive amount of video data (from 10E+15 pixels to 10E+12 units of information), machine and human vocabularies for describing fish, recognising fish and retrieving examples from a massive image database, flexible process architectures to process the data and scientific queries and effective specialised user query interfaces. A  combination of computer vision, database storage, workflow and human  computer interaction methods will be used to achieve this. 

The main research of the PhD student will be in appearance based object recognition. The unique aspects of the project are that rather than having 100s of very different objects, here we 
will have 100s of very similar objects (tropical fish).

So, we will be looking for subtle discriminations, hopefully at the level of species, but perhaps at the level of genus or family. Another unique aspect of the PhD project will be access to up 10^9 instances of the different fish.

for more details of the project.

Applicants must have a good BS/BSc or MS/MSc degree (A/B, 1st class/2.i) in an appropriate area, such as computer science, mathematics or engineering and should be competent in the MATLAB and C/C++ programming languages and have good mathematical skills.

As the project is about image and video data analysis, we will be looking for applicants who have studied computer vision, image processing and machine learning.

Closing date for applications is September 10, 2010.

The online application form can be found at 
When applying, use the term "Fish4Knowledge" as the answer in the Research Area box.

Informal inquiries may be made to Bob Fisher:

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