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<meta http-equiv="Content-Type" content="text/html; charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">Applications are invited for two positions at Queen Mary University of London, School of Electronic Engineering & Computer Science. The positions will be based in the internationally renowned Risk and Information Management and Computer Vision groups.<br><br><div><b>Postdoc Position</b></div><div>We are seeking a postdoctoral research assistant with a strong background in computer vision and machine learning. This 13 month post is funded by the UK EPSRC project Transfer Learning for Person Re-Identification and will address cutting edge research at the forefront of transfer learning for vision. A track record of publication at top venues in vision or machine learning is essential.</div><div><br></div><div>Deadline: 11th July.</div><div>Start Date: As soon as possible, ideally before 31st August 2014.</div><div>Details & application: <a href="http://www.jobs.ac.uk/job/AIY338/postdoctoral-research-assistant/">http://www.jobs.ac.uk/job/AIY338/postdoctoral-research-assistant/</a></div><div><br></div><div><br></div><b>PhD Position<br></b>We are searching for a motivated PhD candidate with a background in machine learning to work in any of the active research areas within our lab. These include topics related to life-long machine learning (transfer, multi-task and cross domain learning), deep learning and active learning. Current areas of application include computer vision and multi-media (recognition, person re-identification, attribute learning, weakly supervised learning), sentiment analysis, medical data analysis and internet/web data analytics.<br><br><div>Deadline: 16th July.</div><div>Start Date: October 2014.</div><div>Details & application: <a href="http://www.jobs.ac.uk/job/AIY692/phd-studentship-in-machine-intelligence/">http://www.jobs.ac.uk/job/AIY692/phd-studentship-in-machine-intelligence/</a></div><div><br></div><div>International applicants are welcome for both positions.</div><div>For informal enquiries contact Dr. Timothy Hospedales, <a href="mailto:t.hospedales@qmul.ac.uk">t.hospedales@qmul.ac.uk</a></div></body></html>