Senior Research Associate at UTS, Sydney, Australia

Senior Research Associate in Data Mining in Australia

SENIOR RESEARCH ASSOCIATE
Faculty of Information Technology
University of Technology Sydney
Ref No. R8703
Note: This position is for a fixed-term period of one year.
Closing date: 25.7.2003

The cross-disciplinary research project "Shaping E-markets by Timely 
Information Discovery" has been initiated in 2001. The deep research goal that 
motivate this research work is to understand the processes that will drive 
market evolution. The project is in its second year of funding, supported by 
the Australian Research Council as an ARC Discovery Grant.

To achieve the goal we are designing and implementing intelligent support 
systems for business-to- business (B2B) and in business-to-consumer (B2C) 
e-business. These systems will take advantage of the information rich 
e-business environment. The entrepreneurial opportunity discovery process lies 
at the heart of market innovation and evolution, in which new knowledge is 
created by bringing together partial knowledge of different elements of a 
market. The systems will be trialed and deployed in a real-world market 
environment.

As a researcher you will play a central role in the development of the 
prototype e-marketplace for providing the support envisioned in the project. 
This includes the development and integration of the technologies that support 
the e-marketplace, namely the e-market virtual world, the negotiation agents, 
the data and text mining bots, the e-market kernel and the multi-agent process 
management system driving the e-marketplace. You will also be responsible for 
maintaining the electronic markets server environment. You will also be shaping 
the 3D interface of the e-marketplace. You will be designing and conducting 
experiments in the e-marketplace, which involves working with research subjects 
drawn from industry and academia, who will operate in the e-marketplace to 
train and improve the design of the intelligent support systems and the data 
mining systems. This includes also collection of data about subject behaviour 
and interaction in the e-marketplace with subsequent analysis.
 

You will be also promoting the e-marketplace and its technological components. 
This includes the development of Web demonstrations and presentations of 
e-marketplace technologies, support of the project Web presence and other 
multimedia presentations.

You should have a doctorate in a relevant branch of computing or artificial 
intelligence and the demonstrated ability in at least two of the areas of:

    * Electronic market architectures
    * Internet agent technology for data and text mining
    * Web data mining methods, including click-stream data mining and sequence 
learning
    * Text data mining methods
    * Learning and adaptive technology
    * Multi-agent systems
    * Plausible inference and reasoning under uncertainty
    * Knowledge-Based Systems
    * Virtual worlds and virtual reality systems
    * 3D interaction and interface design
    * Information Visualisation
    * Design Computing
    * Application integration


You should have experience in:

    * programming in Java and Java-related technologies;
    * Internet and virtual worlds programming;
    * code and application integration

You must have personal skills adequate to work in a team with both senior and 
junior colleagues, and written communication skills appropriate for producing 
reports, clearly documented code, user documentation, and formal papers for 
refereed publication.

Salary range: $54,946 to $65,234 pa.

Application procedure:

Download the selection criteria from
http://www.hru.uts.edu.au/employ/academic_vacancies.html
(Ref No. R8703) or contact the Human Resource Unit:
email: recruitment-1dnWGznF1N8QrrorzV6ljw@xxxxxxxxxxxxxxxx
phone: (02) 9514 1087.

Applicants must address selection criteria. Please include details of 3 
referees, and quote the reference number. Applications must be forwarded to the 
Recruitment Officer at the Human Resources Unit, PO Box 123, Broadway NSW 2007 
by 25 July 2003.

If you then require further information contact Dr Simeon Simoff at: 
simeon-IuPLbuXCSHZWG/WdbR7gnQ@xxxxxxxxxxxxxxxx or phone 02 9514 1837. Please, 
do not send your application to him!
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