Application for two Phd Studentship

4 years ago  By  Iuliana Velniciuc     No comments

The Department of Adaptive Systems at the Institute of Information Theory and Automation of the Czech Academy of Sciences is accepting applications for two PhD studentships.

PhD STUDENSHIP 1
Topic: Collaboration and cooperation of intelligent agents
The department is working in the area of decision making (DM) under uncertainty, preferences elicitation, decentralised decision making, emotional DM; with many different applications, for more information see http://www.utia.cz/AS. The department seeks a talented and ambitious PhD candidate for a challenging multidisciplinary research on theoretic foundations of collaboration and cooperation of intelligent agents in multi-agent decision making.
The project investigates theoretic foundations of cooperation/negotiation of intelligent agents in multi-agent decision making. The research considers design and elaboration of a robust and efficient cooperation support with possible applications in economic games.
The PhD candidate is expected to actively contribute to one of the following topics: Dynamic reconsidering DM goals; Elicitation of DM preferences; Merging of DM preferences.
Requirements: The successful candidate should have a strong mathematical background and hold an MSc or equivalent degree (or expect to obtain MSc very soon) in mathematics, computer science, or engineering. A basic knowledge of Bayesian statistics and probabilistic modelling is supposed. Knowledge of one or more of the following areas: multi-agent systems, artificial intelligence, computer science, automatic coordination and negotiation, simulation, modelling & control, control theory, optimization is an asset. Well spoken and written English and the ability to work in a team are mandatory.
PhD STUDENTSHIP 2
Topic: Rationality and Deliberation in decision making
The department is working in the area of decision making under uncertainty, preferences elicitation, decentralised decision making, emotional DM; with many different applications, for more information see http://www.utia.cz/AS.
The PhD studentship will be a part of the project “Rationality and Deliberation in DM” and is expected to actively contribute to one of the following topics: Feature selection for Lazy Learning; Dynamic reconsidering DM goals; Selecting DM preferences from past experience; Determination of an aspiration level in DM; Optimisation of ‘exploitation-exploration’ balance in decision making.
Requirements: The successful candidate should have a strong mathematical background and hold an MSc or equivalent degree (or expect to obtain MSc very soon) in mathematics, computer science, or engineering. A basic knowledge of Bayesian statistics and probabilistic modelling is supposed. Knowledge of one or more of the following areas: multi-agent systems, artificial intelligence, computer science, automatic coordination and negotiation, simulation, modelling & control, control theory, optimization is an asset. Well spoken and written English and the ability to work in a team are mandatory.

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