One PhD position is available for self-funded students (with CSIR NET or other fellowships) in the broad area of Complex Systems Research. Our current focus lies at the interface of Physics, Cognitive Science and Computer Science. We use theoretical models and agent-based simulations to understand how individual actions, informed by learning, affect collective behaviour at the level of the population. During the course of his/her PhD, the student will get the opportunity to learn about stochastic processes, graphical models, Bayesian inference and reinforcement learning. Students with a background in Physics or Applied Maths or Quantitative Biology with a strong interest in programming, inherent curiosity about the world and a willingness to work on unconventional problems are encouraged to email me directly before applying. Please attach your CV. You are encouraged to look at our "Publications" and "Research" pages to get a sense of the work we do.
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