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AISB opportunities Bulletin Item

Research Fellow: Intelligent Language/ Multimodal Interfaces, University of Aberdeen, SCOTLAND

Research Fellow: Intelligent Language/ Multimodal Interfaces

School of Natural and Computing Sciences

Full time. Closing date 27th June 2012.

Digital Economy is an RCUK cross-council programme, aimed at realising

the transformational impact of ICT for all aspects of business, society

and economy. The dot.rural Digital Economy Hub at the University of

Aberdeen is one of three large multi-disciplinary research hubs funded

through this programme, and commenced its activities in October 2009.


To support our ambitious research programme we are looking to appoint a

postdoctoral research fellow to work in the area of intelligent language/

multimodal interfaces. The Research Fellow will help develop and be

responsible for natural language generation (NLG) based and other

creative forms of on-line communication in a research project on

effective communication of river water levels to the public, as well as

contributing to interfaces of similar kinds needed for other projects

related to natural resource conservation.

The successful candidate will have a good knowledge of natural language

processing techniques or multimodal interfaces (at the PhD level). They

will have some knowledge of NLG and a desire to learn more. The candidate

will have a PhD or be about to complete a PhD in Computer Science/

Artificial Intelligence or a relevant discipline. Enthusiasm for digital

technology and innovation relevant to society and the economy is

essential as is the ability to work in a cross-disciplinary team

including colleagues in computer science and engineering. The ability to

use GIS would be an advantage.

As this post is externally funded it is available for a period of 2.5

years but no later than 30 September 2014.




 An undergraduate or Masters degree in Computer Science or a related


 A PhD degree in Computer Science/ Artificial Intelligence or a relevant

discipline (or be expecting to obtain one at the time of the appointment)

 Have good knowledge of intelligent multi-modal interfaces or natural

language processing techniques, at the postgraduate level

 Have some knowledge of natural language generation techniques and a

desire to learn more

 Experience of delivering presentations and disseminating research.

 Experience of report writing and/or authorship of academic journal


 Enthusiasm for innovation relevant to society and industry.

 Excellent organisational and written and oral communication skills,

including electronic communication.

 Flexible approach.

 Fluency in written and spoken English is essential to support public

engagement activities.


To apply for this position, please use the online mechanism available via (select external applicants

and then search for a post in the School of Natural and Computing Sciences)


For more information (but not to make a formal application), please

contact Chris Mellish at