Research interests:

Artificial intelligence, Bayesian statistics, theoretical computer science, machine learning, sequential decision theory, universal forecasting, algorithmic information theory, adaptive control, MDL, image processing, particle physics, philosophy of science.

Bio:

Marcus Hutter is Professor in the RSCS at the Australian National University in Canberra, Australia. He received his PhD and BSc in physics from the LMU in Munich and a Habilitation, MSc, and BSc in informatics from the TU Munich. Since 2000, his research at IDSIA and ANU is centered around the information-theoretic foundations of inductive reasoning and reinforcement learning, which has resulted in 100+ publications and several awards. His book "Universal Artificial Intelligence" (Springer, EATCS, 2005) develops the first sound and complete theory of AI. He also runs the Human Knowledge Compression Contest (50'000 € H-prize).

Research opportunities with Professor Marcus HUTTER

• Universal Artificial Intelligence (UAI)
• Human Knowledge Compression Contest (HKCC)
• On the Foundations of Inductive Reasoning (FIR)
• Generic Reinforcement Learning Agents (GRLA)
• Mathematical Foundations of Artificial Intelligence (MFAI)
• Choose Your Own Project (CYOP)
• Modelling non-Gaussian spatio-temporal environmental data CSIRO PhD top-up $15000 per year available for application
• Unifying Probability and Logic for Learning (UPL)