[Comp-neuro] Mathematical post-doc position on the relation of information and causation (Prof. Giulio Tononi)
albantakis at wisc.edu
Wed Dec 17 18:44:48 CET 2014
A postdoctoral position is available at the center for sleep and
consciousness science in the laboratory of Dr. Giulio Tononi (University
of Wisconsin, Madison), to study the relation of information and
causation within the framework of the integrated information theory of
consciousness (Balduzzi & Tononi, 2008; Tononi, 2012).
Immediate funding is available for a range of projects related to
foundational questions regarding the ontological status of information,
and its relation to causation, emergence, adaptation, evolution, and
consciousness (see detailed scope of work below).
The successful candidate will work in the information integration theory
group at the center for sleep and consciousness science, which is
dedicated to a broad range of research problems focused on two
neurobiological problems -- the mechanisms and functions of sleep and
the neural substrates of consciousness.
Candidates are expected to have strong training in an analytically
rigorous discipline such as theoretical biology/neuroscience, physics,
mathematics, computer science, or engineering. We explicitly encourage
mathematicians to apply. Experience in information theory, complex
systems, and an interest in the philosophy of information/causation are
a plus. Programming experience is required (knowledge of MATLAB, Python,
and/or C++ is of advantage).
Appointments are renewable from year to year for up to 3 years, starting
as soon as possible or until the positions are filled. Post-doc salaries
correspond to the National Institutes of Health National Research
Service Award (NRSA) stipend schedule for postdoc trainees, based on
number of years of postdoctoral experience.
Candidates should send a CV, brief statement of previous research and
future research interests, and email addresses and phone numbers of
three references to: Giulio Tononi, gtononi at wisc.edu.
Oizumi M, Albantakis L, Tononi G (2014) From the Phenomenology to the
Mechanisms of Consciousness: Integrated Information Theory 3.0. /PLoS
Comput Biol/ 10:e1003588
Hoel, E. P., Albantakis, L., & Tononi, G. (2013). Quantifying causal
emergence shows that macro can beat micro. /PNAS/, /110/(49), 19790--19795.
Tononi G (2012) Integrated Information Theory of Consciousness: An
Updated Account. /Arch Ital Biol/ 150:56--90.
The scope of work will range from:
-theoretical development and computational implementation of the
notion of intrinsic causal information
-causal analysis, including the systematic use of perturbations,
counterfactuals, and irreducibility
-analysis of complex systems in terms their causal/informational
-meaning (understanding and control) from the intrinsic perspective
of the system
-actual causation (causal explanation)
-examining similarities and differences between existing notions of
information and causation (Shannon information, algorithmic
-defining emergence in terms of the spatio-temporal grain size at
which a system of elements achieves a maximum of causal power
-evolutionary/adaptive aspects of information/causation including
simulations based on small adaptive neural networks (animats), which
evolve and adapt to an environment that requires sensitivity to
context for survival
Larissa Albantakis, PhD
Department of Psychiatry
University of Wisconsin
6001 Research Park Blvd
Madison, WI 53719
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