I have various postdoc positions at OIST in Okinawa, Japan, starting right away.
The successful candidate would work directly with me and the topic can vary
based on common interests.
Actual areas of interest include:
- information measures;
- concentration of measure in non-classical settings (non iid);
- information-theoretic bounds on the generalisation error of learning algorithms;
- estimation theory;
- hypothesis testing in non-classical settings;
- estimation and prediction in biological settings;
- properties (contraction) of Markovian and non-Markovian operators on probability measures;
- variational characterisations of information measures;
Knowledge of measure theory and functional analysis is strongly appreciated.
If you know someone that might be interested please kindly forward them this email.
Best,
Amedeo Roberto Esposito
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