[CS] Fwd: 2 Post-doc positions on the relation of information and causation (Prof. Giulio Tononi)

[Lee Spector]

I don't know if any readers of this list are currently looking for a postdoc position, but I think this is interesting to read even if you're not. 

And note that the first author of the second reference is Hampshire grad Erik P Hoel!

 -Lee

Begin forwarded message:

> From: Larissa Albantakis <albantakis at wisc.edu>
> Subject: [alife] 2 Post-doc positions on the relation of information and causation (Prof. Giulio Tononi)
> Date: March 3, 2014 10:08:09 AM EST
> To: comp-neuro at neuroinf.org, alife-announce at lists.idyll.org
> 
> Up to 2 postdoctoral positions are 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).
> 
> Successful candidates will work at the center for sleep and consciousness science, 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. For at least one of the positions, we explicitely 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 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.
> 
> Balduzzi D, Tononi G (2008) Integrated information in discrete dynamical systems: motivation and theoretical framework. /PLoS Comput Biol/ 4:e1000091.
> 
> 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
>   structure
> 
>   -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
>   information,...)
> 
>   -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

--
Lee Spector, Professor of Computer Science
Cognitive Science, Hampshire College
893 West Street, Amherst, MA 01002-3359
lspector at hampshire.edu, http://hampshire.edu/lspector/
Phone: 413-559-5352, Fax: 413-559-5438