Positions in process modeling

[Georg Dorffner]

The Neural Computation Group at the Austrian Research Institute for
Artificial Intelligence (http://www.ai.univie.ac.at/oefai/nn/)
has 1-2 openings for a position in

   System identification and data modeling in production processes

This position will be open starting Sep. 1, 2002 and will be limited to
approximately 3 years. Work will be done as part of the EU-commission
funded project MONOTONE (Automatic Quality Control in Industrial
Printing).
This is an application-oriented research project aiming at improving
the production process in the ceramics industry. The goal is to model
aspects of the production process using semi-parametric methods such
as neural networks or Gaussian mixture models, and to solve several
pattern recognition problems. Rule-based methods will also be applied,
where appropriate. Data will be supplied by several industrial
partners.

Required background:

- know-how in neural computation and/or advanced
  statistics and data modeling
- alternatively, know-how in rule-based and model-
  based process modeling
- academic degree in technical major (e.g. computer 
  science, electrical engineering, mathematics)
- research experience
- motivation for and interest in industrial
  research and development
- basic programming skills
- proficiency in English

Desired background

- publications related to the field
- experience with Matlab
- basic understanding of German

A Ph.D. degree is not required but will be prefered.

Interested applicants should apply by email, mail or fax, no later
than July 31, 2002, 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
fax: +43-1-4277-9631
email: georg at ai.univie.ac.at
[use the keyword MONOTONE in the subject line!]