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Research Assistants/Fellows -Intelligent Media Technologies

Written by LOWONGAN KERJA TERBARU on 15:31

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

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 (atta.badii@rdg.ac.uk) or
phone
00 44 (0)118 378 7842

The Application Form is available at www.reading.ac.uk/Jobs

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