Research Fellow - Artificial Intelligence

  • 08 Feb 2012
  • 01 Mar 2012
  • Faculty of Information Technology, Clayton, Monash University
Research Fellow - Artificial Intelligence

Faculty of Information Technology
Clayton School of Information Technology

Clayton campus


Two and one half year fixed-term appointment

Remuneration: $81,854 - $87,861 pa Level A PhD (includes 17% employer


As Research Fellow (Artificial Intelligence) you will assist in
cutting-edge theoretical research on the causal metaphysics of
Bayesian networks.

You will use causal Bayesian networks to analyse current deterministic
and stochastic accounts of actual (token) causation and assist in
developing new stochastic analyses. The relation between stochastic
token causation and type causation will be investigated, with a view
to integrating these accounts with causal information theory. The
outcomes of the project will include an information-theoretic analysis
of causal explanation that allows for distinct degrees of explanatory

As the successful candidate, you will have:

 a PhD in Artificial intelligence, Philosophy of Science, Mathematics
 or a related field, expertise in Bayesian network technology,

 a good understanding of current work in causal Bayesian networks,
 causal metaphysics, information theory, experimental philosophy and
 philosophy of science,

 a practical understanding of computer programming and statistics,

 a proven ability to pursue original research, including a
 track-record of research publication, and good communication skills
 both written and oral.

If you believe you meet these criteria, we encourage you to apply. See:

This role is a full-time position; however flexible working arrangements
may be negotiated.

Closing date for applications: 1 March 2012


Kevin Korb
Tel +61 3 9905 5198
Email: kbkorb \at\ gmail \dot\ com

©Australasian Association of Philosophy
ACN 152 892 272
ABN 29
152 892 272
Powered by Wild Apricot Membership Software