Vacancies and Internships at ISR

Deadline for applications is now over.

At the Intelligent Systems Research Laboratory, School of Systems Engineering, University of Reading (www.isr.reading.ac.uk) we have the following Vacancies:

 

  • Research Fellow with strong software engineering capability particularly Java programming, E-Learning Systems, system integration, semantic modelling, information retrieval and recommender systems, user modelling & personalisation. (RS13034).

The full advertisement can be viewed online at: www.isr.reading.ac.uk/RS13034

 

  • Research Fellow with strong software engineering capability and a research interest in Software Engineering, particularly Semantic Modelling, Sensor Fusion, Situation Assessment, Autonomous Systems, Machine Learning and Pervasive-Cooperative Ambient Intelligence (RS13035).

The full advertisement can be viewed online at: www.isr.reading.ac.uk/RS13035

 

  • 3 Research Fellows with strong software engineering capability, particularly Java programming, computer vision, semantic modelling, information retrieval and recommender systems, user modelling and personalization (RS13033).

The full advertisement can be viewed online at: www.isr.reading.ac.uk/RS13033


All positions are full-time fixed-term Professional Grade 6 (£27,854 to £36,298 per annum) appointments.

Closing date for the Research Fellow positions is the 21st June 2013 with interviews being held on 11th and 12th July 2013. Appointees will be encouraged to start as soon as possible.

Additionally, ISR is offering 5 Summer Internships for self-motivated individuals with software engineering and R&D aptitude to work within a highly creative team that enjoys international collaborative research.

The full advertisement can be viewed online at: www.isr.reading.ac.uk/TS13012

The Internships are full-time fixed term positions from 1 July 2013 to 30 September 2013 Professional Grade 5 (£22,700 to £24,049 pro rata per annum) appointments.
Closing date for the ISR Summer Internships is the 21st June 2013 with interviews being held on 28th June 2013.

 

To formally apply for any of the above positions please access the application form online (www.reading.ac.uk/jobs) where the vacancies and ISR are also fully described under each reference number (RS13033, RS13034 & RS13035 for the Research Fellow Positions, and TS13012 for the Summer Internships).  If you require further clarification please contact Professor Atta Badii, Intelligent Systems Research Laboratory, School of Systems Engineering, University of Reading, Phone 00 44 118 3787842 or 0044 118 378 6489, or, Skype-ID  badii.atta.

ISR has moved offices

ISR has moved into its new premises in the the JJ Thomson building next to the School of Systems Engineering. The new premises include offices for visiting staff, dedicated hardware lab, meeting rooms, etc.


Please note our new contact details and information, here.

2nd VideoSense Grand Challenge

ISR as the VideoSense VCE coordinator is co-organising this new VideoSense Grand Challenge which builds on the results of the previous one (the 2012 MediaEval Privacy Task) and aims at finding ways to protect the privacy of people in videos. The insights arising from the Privacy Task as was run last year, showed that regardless of the methods used for filtering out the elements of the video image that can potentially reveal the identity of the data subject, the best results belonged to those using superior object detectors.  Hence this year the participants will be offered the object detections as given.

Accordingly, participants will be invited to propose methods whereby elements of the image of persons featured in video frames can be obscured so to render them unrecognisable. This is intended to ensure that a person appearing in a video frame will not be visually identifiable based on an image which is thus obscured.   This action is to be performed as a matter of privacy protection for any persons whose picture might happen to be knowingly or unknowingly captured in a video frame. 

The main elements to be obscured are as fallow: faces, ethnicity, gender, and accessories. You are free to filter other elements such distinctive clothing or gait, but should keep in mind that as much information as possible should be retained in order to keep the video understandable.

Since the resulting partly obscured videos would nonetheless have to remain available for viewing, an optimal balance should be struck so that despite the extent of such masking of the identity as may be necessary, the categorical identity of any masked data subject therein, i.e. as a human being, or the type of their activity as may have been evident in the original video frame, can still be recognisable to the viewer. Furthermore, the proposed obscuring techniques should take into consideration the acceptability and attractiveness of the resulting obscured and scrambled regions.

Participants are encouraged to present their results at the MediaEval 2013 workshop, which will take place in Barcelona, Catalunya, Spain, on Friday-Saturday 18-19 October 2013. Note that this is just before ACM Multimedia 2013 http://acmmm13.org/, which will be held Monday-Friday 21-25 October 2013, also in Barcelona.

Proviosional Task schedule

June 3rd: data set release
September 13th: run submission
September 25th: results returned
October 18th: MediaEval workshop

Registration will soon be open for participants at http://www.multimediaeval.org/mediaeval2013/