英国Queen Mary University of London Yi-Zhe Song老师的博士生招生信息
英国Queen Mary University of London Yi-Zhe Song老师的博士生招生信息：PhD Studentship in collaboration with OMRON - “Fine-Grained Sketch-Based Image Retrieval”
Applications are invited for a fully-funded PhD studentship, to conduct research into Sketch-Based Image Retrieval (SBIR). The project will develop new perspectives towards SBIR, based on recent developments from free-hand sketch analysis, deep neural networks, and visual attribute mining and detection. In particular, it will study how sketches can be used as an effective means of retrieval images from a large dataset in a fine-grained manner, i.e., find a specific type of shoes by sketching it other than describing in text or providing a picture. The candidate will work in very close collaboration with OMRON.
详细消息请见：
http://www.jobs.ac.uk/job/ALT500 ... ed-image-retrieval/
PhD Studentship in collaboration with OMRON - “Fine-Grained Sketch-Based Image Retrieval”Queen Mary, University of London - School of Electronic Engineering and Computer Science (EECS)
Qualification type:PhD
Location:London
Funding for:UK Students, EU Students, International Students
Funding amount:£16,057
Hours:Full Time
Placed on:10th August 2015
Closes:13th September 2015
Applications are invited for a fully-funded PhD studentship, to conduct research into Sketch-Based Image Retrieval (SBIR). The project will develop new perspectives towards SBIR, based on recent developments from free-hand sketch analysis, deep neural networks, and visual attribute mining and detection. In particular, it will study how sketches can be used as an effective means of retrieval images from a large dataset in a fine-grained manner, i.e., find a specific type of shoes by sketching it other than describing in text or providing a picture. The candidate will work in very close collaboration with OMRON.All nationalities are eligible to apply for this studentship, which will start in September/October 2015. This studentship, jointly funded by QMUL and OMRON, is for 3 years and will cover student fees and a tax-free stipend starting at £16,057 per annum.Candidates must have a first-class honours degree or equivalent, or a good MSc Degree in Computer Science, Electronic Engineering, Physics or Mathematics. Experience of programming in e.g. Matlab, C/C++, or Python is essential. Knowledge of machine learning, image retrieval and sketch analysis would be an advantage.The PhD supervisor will be Dr. Yi-Zhe Song. The student will also work closely with team from OMRON, led by Dr. Xiang Ruan. The project will be part of on going research into understanding human sketches, which is one of the most rapidly growing research topics in computer vision with potential widespread applications in the short-term. The successful candidate will be part of the Vision group that is one of the most renowned Computer Vision research labs internationally. Please see http://www.eecs.qmul.ac.uk/~yzs and http://vision.eecs.qmul.ac.uk/ for background. Informal enquiries can be made to Dr. Yi-Zhe Song (yizhe.song@qmul.ac.uk).To apply, please follow the on-line process (www.qmul.ac.uk/postgraduate/apply) by selecting ‘Electronic Engineering’ in the ‘A-Z list of research opportunities’ and following the instructions on the right-hand side of the web page. Please note that instead of the ‘Research Proposal’ we request a ‘Statement of Research Interests’. Your statement should answer two questions: (i) Why are you interested in the topic?(ii) What relevant experience do you have? Your statement should be brief: no more than 500 words or one side of A4 paper. 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 a published conference or journal paper. More details can be found at:www.eecs.qmul.ac.uk/phd/apply.phpInterviews are expected to take place during September 2015.
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