Post-doctoral/PhD Positions in Nonstochastic Information, U. Melbourne

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One Post-doc and two PhD positions are available to investigate the use of nonstochastic and zero-error information theory in filtering, control and causal inference problems with deterministic disturbances or unknown noise distributions. These positions are based in the Department of Electrical and Electronic Engineering, University of Melbourne, Australia.

One Post-doc and two PhD positions are available to investigate the use of nonstochastic and zero-error information theory in filtering, control and causal inference problems with deterministic disturbances or unknown noise distributions. These positions are based in the Department of Electrical and Electronic Engineering, University of Melbourne, Australia and are funded by an Australian Research Council Future Fellowship grant.

**Post-doctoral applicants should have a theoretically-focused PhD in a relevant area. Knowledge of probability theory and random sampling methods would be useful.

Salary: from AU$87,415/year before tax, dependent on experience, plus employer superannuation contribution of 9.25%.
Duration: one year including probation period. Extensions are subject to performance and funding.
Starting date: flexible, but preferably before Feb 2018.

To express interest, please email a research statement and CV, with 3 referees listed, to Prof. Girish Nair, gnair@unimelb.edu.au

**PhD candidates should have a Bachelors and/or Masters degree with a strong background in information theory or control. Knowledge of probability theory would be helpful. Candidates must also meet the PhD admission requirements of the Department of Electrical and Electronic Engineering and the University of Melbourne.

Stipend: AU$30,000/year tax-free for 3.5 years, with up to AU$15,00 for travel and conferences; subject to passing Departmental confirmation after one year.
Starting date: flexible, but preferably before Feb 2018.

To express your interest, please email a research statement and CV, with 2 referees listed, to Prof. Girish Nair, gnair@unimelb.edu.au