About the Project
Applications from UK and EU candidates are invited for a PhD Studentship in Computer Vision. A start date in the beginning of 2017 (or as soon as possible) is anticipated.
The students will be supervised by Dr. Krystian Mikolajczyk and will be focused on machine learning for visual recognition in large scale data. Dr Mikolajczyk is a Reader in the Intelligent Systems and Networks group in the Department of Electrical and Electronic Engineering at Imperial College London. His research activities are in visual recognition, retrieval and matching; his particular interests are in invariant feature extraction and visual signal representation, which he applied to many computer vision tasks including image and video classification, object recognition and tracking, visual surveillance, wide baseline matching and large scale image retrieval.
The PhD study will be based in Imperial Computer Vision and Learning Lab (ICVL http://www.iis.ee.ic.ac.uk/ComputerVision/), where we explore machine learning techniques for computer vision. Many visual recognition tasks, which are to make machines see, can be cast as learning problems from image space to semantic labels. We study novel formulations and computationally efficient methods for understanding visual contents from given imagery data, including the topics of object tracking and recognition, gesture and activity analysis, face recognition, semantic segmentation and man-machine interface. The ICVL lab is within Intelligent Systems and Networks (ISN, http://www3.imperial.ac.uk/IntelliSysNetworks) research group, which focuses more generally on Intelligence, Communication, and Interaction and the development of "autonomic" systems, including computers, networks, and robots.
The student will also interact strongly with the groups in Imperial Robotics Forum, http://www.imperial.ac.uk/robotics/, which involves 21 laboratories, more than 30 principal investigators and about 150 researchers and PhD students. In addition to computer vision, research in the Robotics Forum covers various aspects of basic and applied robotics research including mechatronics systems design and control, autonomous systems and artificial intelligence, medical and rehabilitation robotics, human and social robotics. There is also a very active student robotics society.
Applicants should have a first class or good upper second MEng degree or a BEng honours degree with a Masters degree (or equivalent) in an engineering discipline. They should also have good programming skills, knowledge of signal processing or other relevant background, enthusiasm and creativity for solving challenging problems and research in general.
Prospective candidates are invited to contact Dr Krystian Mikolajczyk ([Email Address Removed]) as soon as possible by sending a detailed CV (including the names of two referees). A covering letter explaining your current interests and relevant background will be required at later stage.
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