Open post-doc in economic modeling

[Georg Dorffner]

Merry Christmas to everyone!!


The Neural Networks Group at the Austrian Research Institute 
for Artificial Intelligence in Vienna, Austria, has an 
immediate opening for a post-doc position in

   Agent-based economic modeling

as part of the larger initiative "Adaptive Models in 
Economics and Management Science" 
(http://www.wu-wien.ac.at/am/). The goal is to investigate 
different approaches to modeling learning economic agents,
among them neural networks, in a larger-scale simulation 
of partial economics including customers, firms and a 
financial market. A particular focus is on cognitvely 
plausible models of learning and knowledge. Some background 
on our own previous work, as well as on related work
world-wide can be found at 
http://www.wu-wien.ac.at/am/ae.htm.

Required background:

- an education in computer science, mathematics or
  economics
- programming experience (e.g. C++ or, in 
  particular, Matlab)
- a basic background in economics
- a doctorate degree
- research experience (preferably in agent-based 
  simulation, complex systems, or related areas)

Desired (but optional) background:

- publications in the field
- basic knowledge in neural networks and machine learning
- basic knowledge in cognitive modeling
- basic understanding knowledge of German

The position will be limited to a little more than 
2 years (March 2003), but with a good option to be extended 
thereafter. The monthly salary offered amounts to approx. 
ATS 24.500 (Euro 1780) after tax.

Interested applicants should apply by email, mail or 
fax, no later than January 15, 2001, at the address below. 
Include a short vita, a list of publications, and any other 
information demonstrating your qualification.

Send applications to:

Georg Dorffner
Austrian Research Institute for Artificial Intelligence
Schottengasse 3
A-1010 Vienna
phone: +43-1-4277-63116
fax: +43-1-4277-9631
email: georg at ai.univie.ac.at


This position is funded by the Austrian Fonds zur Foerderung der 
wissenschaftlichen Forschung (FWF).