[alife] A Post-doc Position on Data Mining of Network Formations

Hussein A. Abbass h.abbass at adfa.edu.au
Sun Jul 3 18:43:25 PDT 2005


Please distribute this Ad for a Post-doc 
 
 
Call for expression of interst in a Post-doc Position on Data Mining of
Network Formations
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University of New South Wales,
School of Information Technology and Electrical Engineering,
Canberra, Australia.
 
Expression of interest in Post-Doctoral Fellow in Data Mining of Network
Formations
 (One-Year Fixed-term)
 
Level A  $45,591 - $60,770  per annum (This includes a superable UNSW
academic loading of $3,000 per annum)  
 
The School of Information Technology and Electrical Engineering, the
University of New South Wales (UNSW) at the Australian Defence Force Academy
( <mailto:UNSW at ADFA> UNSW at ADFA), Canberra, Australia, is pleased to
advertise for a Post-Doctoral Fellow Position in the area of Data Mining of
Network Formations. UNSW is one of the top research universities in
Australia. The appointment will be a fixed-term of 1 year. The successful
candidate will work on developing data mining algorithms for the
identification of social network structures from a stream of data.   
 
The candidate will work closely with a team that consists of  

. Dr. Hussein Abbass (project coordinator, University of NSW, ALAR, research
areas: complex adaptive systems, evolutionary computation, and data mining),


. Dr. Michael Barlow (University of NSW, VESL, research areas: multi-agent
systems, technology & application of games, visualisation, automatic speech
processing, and virtual environments),  

. Dr. Mark Colins (University of NSW, research areas: probability theory,
reliability models),  

. Dr. Daryl Essam (University of NSW, research areas: evolutionary
computation, fractals), and  

. Prof. Alex Rubinov (University of Ballarat, research areas: global
optimization, data mining).  

The successful applicant will join an active research group of PhD students
and post-docs and will work jointly with the Artificial Life and Adaptive
Robotics Laboratory (ALAR)  <http://www.itee.adfa.edu.au/~alar/>
http://www.itee.adfa.edu.au/~alar/ and the Virtual Environment and
Simulation Laboratory (VESL)  <http://www.itee.adfa.edu.au/research/vesl/>
http://www.itee.adfa.edu.au/research/vesl/. 
 
The successful candidate should have, or have submitted, a PhD in computer
science, applied mathematics or a closely related field. The candidate is
expected to be knowledgeable in one or more of the following topics: social
networks, network sampling, graph theory, machine learning, and statistical
inference. Knowledge and understanding of equity and diversity principles
and OHS practices is essential. Knowledge of JAVA or C++ is desirable for
this appointment.  
 
Essential Selection Criteria 

1. A PhD in Computer Science, applied mathematics, or equivalent. 

2. Knowledge and experience in one or more of the following areas: social
networks, network sampling, graph theory, machine learning, and statistical
inference. 

3. A record of high quality research publications. 

4. A high level of verbal and written communication skills.  

5. Knowledge and understanding of occupational health and safety
requirements, equity and diversity principles. 

Desirable Selection Criteria 

1. Knowledge and experience in JAVA or C++. 
 
The first screening of applicants will occur on the 10th of July 2005. The
position will remain open until filled. Inquiries regarding the appointment
and expression of interest should be directed to Dr Hussein Abbass at
<mailto:abbass at itee.adfa.edu.au> abbass at itee.adfa.edu.au. 
 

 


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