Applications are invited for 2 PhD Studentships to undertake research under a new European Union FP7-funded project SUNNY (Smart UNmanned aerial vehicle sensor Network for detection of border crossing and illegal entrY). SUNNY is a joint FP7 project of 17 academic and industrial partners for developing and integrating an innovative intelligent airborne sensor network for border surveillance.
The successful candidates will develop models, algorithms, and systems for robust object (human, vehicle and ships) detection, categorisation and tracking using a heterogeneous UAV sensor network. In particular, the job will involve the development of novel computer vision and machine learning algorithms for sensor alignment, super-resolution, data fusion, and active learning from human feedback.
The successful candidate will be based at the Queen Mary Vision Laboratory (http://www.eecs.qmul.ac.uk/research/vision/), working under the supervision of Dr. Tao Xiang (http://www.eecs.qmul.ac.uk/~txiang) and Prof. Shaogang Gong (http://www.eecs.qmul.ac.uk/~sgg) in the School of Electronic Engineering and Computer Science. The Queen Mary Vision Laboratory is a leading computer vision research laboratory, specialising in video behaviour analysis and abnormality detection, object detection and tracking in crowded scenes, and human facial expression and body language modelling.
This studentships are for 3 years and will cover student fees and a tax-free stipend starting at Â£15,726 per annum and is available to candidates of all nationalities. The candidates should have a first class honoursÂ degree or equivalent, or a strong Masters Degree, in Computer Science, Electronic Engineering, Mathematics, Physics, or a related field, and be able to demonstrate strong problem-solving and analytical skills. Good programming skills are required, preferably with Matlab and C++. Research experience in image processing, computer vision or machine learning is desirable. Informal enquires can be made by email to Dr. Tao Xiang: email@example.com and Prof Shaogang Gong: firstname.lastname@example.org
To apply please follow the on-line process (see www.qmul.ac.uk/postgraduate/apply ),via the âApplyâ button below. Select âComputer Scienceâ in the âA-Z list of research opportunitiesâ and follow the instructions on the right hand side of the web page.Â
Please note that instead of the ‘Research Proposal’ we request a ‘Statement of Research Interests’. Your Statement of Research Interest should answer two questions: (i) Why are you interested in the proposed area?Â (ii) What is your experience in the proposed area? Your statement should be brief: no more than 500 words or one side of A4 paper. Mark clearly the statement with Your Name and the title âVerifying Software at Large Scaleâ.Â In addition we would also like you to send a sample of your written work. This might be a chapter of your final year dissertation, or some published conference or journal papers.Â More details can be found at: the apply button below.
The closing date for the applications is 30 October 2013.Â Â Â Â
Interviews are expected to take place during w/c 11th November 2013.