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Research Assistants/Research Fellows- Intelligent Media Technologies  RSS feed

Daniel Thiemert
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Research Assistants/Fellows -Intelligent Media Technologies

Intelligent Media Systems & Services Research Laboratory (

Interactive Pervasive Computing Research Themes

School of Systems Engineering

University of Reading

Pay grade: 6

Pay scale: �25134 - � 32796 (approx �37K- �47.5K) 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, is an internationally well-established and dynamic group with a large and expanding portfolio of EU/DTI/MoD/EPSRC-funded research projects in strategic Computer Science and 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 innovation in 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 and formally validate 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,

� Visualisation,

� 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) Formal Methods, Simulation

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 (e.g. further particulars, job and person specification) about the posts please contact the IMSS Director, Atta Badii by email ( or phone

00 44 (0)118 378 7842

The Application Form is available at
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