Research Fellow in Artificial Intelligence (EXPIRED)

Research Fellow - Artificial Intelligence

Faculty of Information Technology
Clayton School of Information Technology

Clayton campus

Full-time

Two and one half year fixed-term appointment

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

Position:

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 strength.

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.

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

Closing date for applications: 1 March 2012