Research Fellow in Semantic Information Pursuit in Machine Perception

University of Surrey - Department of Electrical & Electronic Engineering

Applications are invited from enthusiastic and talented individuals for a post–doctoral research position linked to a multidisciplinary research project. The position is available from 1 January 2018 through a MURI/EPSRC/dstl funded project in the area of semantic information pursuit for machine perception. The work will be undertaken at the University of Surrey (UK) under the supervision of Profs Josef Kittler and Miroslaw Bober.

Project background

Semantic Information Pursuit for Multimodal Data Analysis is a MURI multidisciplinary collaborative research project funded by DoD in USA and EPSRC/dstl in the UK. This project, led by John Hopkins University, involves six US and 4 UK teams. The aim of the project is to develop information theory for decision-making problems in machine perception. It will focus on perception goal specification, context modelling and data representation, using deep neural networks and other machine learning architectures for decision-making. The project offers an opportunity for successful candidates to work in an inspiring environment at the University's Centre for Vision, Speech and Signal Processing, one of the UK's premier research centres in image processing. 

Our offer

As part of this project, we offer a full-time postdoctoral research position (RA1A) for three years. Although you will be based at the University of Surrey, you will be expected to travel occasionally for meetings and joint activities with our collaborators. In particular, your task will be to work on information measures for decision-making, and on various aspects of information fusion. You will be responsible for the integration of the algorithms developed into a multimodal data interpretation  system, as well as evaluating their effectiveness.

Your profile

We are looking for a researcher with a PhD degree or currently enrolled on a PhD programme, with good skills and knowledge in information theory, information fusion and machine learning.  Knowledge of convolutional deep neural networks and other machine learning architectures, is highly advantageous, as is experience in machine learning, deep neural networks and in handling large datasets. You need to have good programming and experimental skills and be confident working at the interface of multimodal data and machine learning. You should have experience of C/C++ and ideally GPU/CUDA implementation. 

The candidates should be motivated and enthusiastic to work in a team environment and should have experience of communicating findings in journal papers. We are also looking for good written and spoken English language skills.

Your responsibilities

You will be expected to conduct research on information measures for multimodal data representation and on information fusion in machine perception systems based on deep neural networks. The duties will include reporting the results in top ranking pattern analysis and machine intelligence journals. You will actively contribute to MURI project system integration activities and evaluation campaigns, as well as to outreach and technology transfer activities. 

Information and application

For informal enquiries please contact Professor Josef Kittler (J.Kittler@surrey.ac.uk), tel. +44 (0)1483 689294. 

Please note, it is University Policy to offer a starting salary equivalent to Level 3.6 (£30,688) to successful applicants who have been awarded, but are yet to receive, their PhD certificate.  Once the original PhD certificate has been submitted to the local HR Department, the salary will be increased to Level 4.1 (£31,604).

For more information and to apply online, please download the further details and click on the 'apply' button below.

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