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Postdoctoral Research Assistant - QMUL14740

Department: School of Electronic Engineering & Computer Science
Salary: £32,956 - £36,677 per annum (Grade 4)
Reference: QMUL14740
Date posted: 30-Apr-2018
Closing date: 11-Jun-2018

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Overview:

Deep Learning for Large-Scale Video Analysis

The Computer Vision Research Group within the School of Electronic Engineering and Computer Science, QMUL, invites applications for one full time postdoctoral research assistant to work on an InnovateUK funded project on deep learning for video-based people and vehicle detection, re-identification and search in Smart City applications. This is a two years collaborative project between Queen Mary Computer Vision Group, Vision Semantics Ltd and our international partners.

 

A challenge to large-scale people and vehicle detection, identification and re-identification “in-the-wild” is learning effectively a rich representation that is both salient and unique for individual object description, also robust to domain transfer when labelled training data is not available in new test domains. Moreover, in video analysis model learning is subject to imbalanced and weakly labelled data in the presence of overwhelming noisy unlabelled data. These problems impose significant challenges to deep learning techniques. This project will investigate and develop novel deep learning models for domain-transfer video analysis given sparely labelled data together with large quantity of unlabelled data in test domains. In particular, the successful candidate will develop real-time deep models for urban environment people and vehicle detection and identification “in-the-wild”, working in close collaborations with industrial and international partners.

 

Candidates are expected to have a PhD (already obtained or shortly to be awarded) in Computer Science, Electrical Engineering or Mathematics, with particular focus on Deep Learning, Machine Learning, Computer Vision. The successful candidate must have an outstanding experience in research on deep learning and computer vision, and very strong programming skills in deep learning environments, e.g. TensorFlow, Caffe, C++ and Python. The candidates are also required to have good analytical and communication skills for working as a part of a team, and to prepare project deliverable reports and publish peer-reviewed papers.

 

The post is a full time, fixed term appointment, for 18 months or until 31 Jan 2020 (whichever is the shorter). The successful candidate is expected to start from 1st July 2018 or as soon as possible thereafter. The starting salary will be £32,956 - £36,677, inclusive of London Allowance. Benefits include 30 days’ annual leave, defined benefit pension scheme and interest-free season ticket loan.

 

Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme. 

 

Informal enquiries should be addressed to Professor Shaogang Gong (s.gong@qmul.ac.uk)

 

To apply, please click the link below.

The closing date for applications is 11 June 2018 and interviews will be held shortly thereafter.

 

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QMUL is proud to be a London living wage employer

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