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Research Assistants/Fellows Intelligent Media Technologies Reading UK

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Research Assistants/Fellows -Intelligent Media Technologies
Intelligent Media Systems & Services Research Laboratory (www.imss.rdg.ac.uk)

Ambient Intelligence Research Group
School of Systems Engineering
University of Reading
Clothing date
Pay grade: 6
Pay scale: �25134 - � 30012 per annum (subject to annual adjustment in accordance with national agreements)

The University of Reading is one of the top twenty research-intensive universities in the UK. The Intelligent Media Systems & Services Research Laboratory (IMSS, www.imss.reading.ac.uk) is an internationally well-established and dynamic group with a large and expanding portfolio of EU/DTI/MoD/EPSRC-funded research projects in strategic ICT fields and involving close alliances with world-class academic and industrial players in the UK and globally. IMSS Research is pushing forward the frontiers of advanced model-driven and service-oriented semantic-cognitive architectures as underpinned by agent technologies, middleware, ambient intelligence, and, multi-modal interfaces including virtual/augmented reality to realise smart and secure environments.

We are offering to self-motivated individuals with research leadership experience, the opportunity to work within a highly creative team, enjoy international collaborative research and present their work at centres of excellence in Europe and beyond.

You will have:
A PhD or Masters Degree qualification in Computer Science or in a closely associated discipline with software and systems engineering experience (exceptionally a 1st Class Honours Degree with a relevant final year project may be considered). Additionally candidates will have working knowledge of one of the 12 fields listed below as their specialist area:

1)Data Mining Technologies
�Data Mining,
�Linked Mining
�Data Warehousing
�Distributed Databases
�Machine Learning, CBR

2) Natural Language Processing
�Dialogue Management
�Multi-modal Indexing
�Query support

3) Pattern Recognition & Optimisation
�Speech & Sound Recognition
�Speaker Recognition
�Image Recognition & Tracking
�Natural Algorithms & Adaptation( Neural Networks, Genetic Algorithms)

4) Enterprise Systems Integration
�Enterprise Applications J2EE-based Integration and Client Server Technologies
�Semantic Workflow Integration

5) Semantic Service-oriented Systems
� Ontology Engineering,
�Semantic Web/Grid
�Web Services
�Profiles Repositories Management
�Agent-broker frameworks
� Dynamic Media Adaptation & Personalisation (MPEG 21 Standards)
�Metadata Standards such as XML, SOAP, .NET etc
�Adaptive Media Transcoding

6) 3D Modelling
�3D Modelling,
�3D Imaging, Reconstruction,
�Virtual Reality
�Augmented Reality
�Image Recognition & Motion Analysis

7) Access & Tagging Technologies
�ID Management

8) Communications Technologies
�Wireless Technology
�Telecommunication Protocols
�Network Security

9) Embedded Systems:
�Embedded-systems designs encompassing both hardware and software aspects (e.g. VHDL programming, Memory controller interfaces such as SRAM, SDR and DDR).
�Experience of a range of parallel -programming techniques: parallel loops, loop-nest scheduling, parallel reduction, divide-and-conquer, pipelining, task-based parallelism
�Real-time processing and parallel decoding of telecommunication protocols.
�FPGA design tools experience.
�Sensor Networks

10) Rights Protection Technologies
�Digital Rights Management including Finger Printing, WaterMarking & relevant MPEG21 standards

11)Advanced Multi-modal Interfaces
�Affective interfaces
�Embedded Conversational Agents (ECAs-Avatars)

12) Forensic Computing

Successful candidates may have the opportunity to pursue a relevant PhD Programme of Research supported under the University staff fee-waiver framework.

For informal discussion and further information about the posts please contact the IMSS Director, Atta Badii by email (atta.badii@rdg.ac.uk) or phone 00 44 (0)118 378 7842

Further particulars and application form etc are available at www.reading.ac.uk/Jobs or telephone 00 44 (0)118 378 6771 (voicemail).
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