[Comp-neuro] Junior Faculty Positions in "Decision-Making & Judgment Research", and "Cognitive Neuroscience" at the University of California, Irvine

Dear Colleagues,

Two Assistant Professor positions are available in the Department of Cognitive Sciences at the University of California, Irvine.

1. Junior Faculty Position, Cognitive Neuroscience

Subject to budgetary authorization, a tenure-track position at the Assistant Professor level is available in the area of cognitive neuroscience, particularly in speech and language or higher-level perceptual or action neuroscience areas. The online application should include: A cover letter indicating primary research interests, CV, three recent publications, and three to five letters of recommendation. Candidates should apply online at: https://recruit.ap.uci.edu/apply#SOCSCI. Application review will begin on 12/01/2011.

2. Junior Faculty Position, Decision-Making and Judgment Research

Subject to budgetary authorization, a tenure-track position at the Assistant Professor level is available for candidates who apply experimental and computational approaches to Decision-Making and Judgment research. The online application should include: A cover letter indicating primary research interests, CV, three recent publications, and three to five letters of recommendation. Candidates should apply online at https://recruit.ap.uci.edu/apply#SOCSCI. Application review will begin on 12/01/2011.

The University of California, Irvine is an equal opportunity employer committed to excellence through diversity.

Best regards,

Jeff Krichmar
Department of Cognitive Sciences
2328 Social & Behavioral Sciences Gateway
University of California, Irvine
Irvine, CA 92697-5100
jkrichma@uci.edu
http://www.socsci.uci.edu/~jkrichma

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[Comp-neuro] Direct Neuronal Imaging, Micro Electrode Recordings and MEG - Scientific Collaboration

The Centro Studi e Ricerche "Enrico Fermi" in Roma (IT) is
since many year involved on a very challenging project
about the feasibility of the direct detection of neuronal currents using
NMR (Nuclear Magnetic Resonance) at Larmor fields on the order of the
earth magnetic field (50uT).
This technique, named Direct Neuronal Imaging or DNI, would be a new
potential functional imaging modality of the brain, and will be based on
the direct measurement of the ultra-weak magnetic fields induced by the
neuronal currents around neurons by looking at ultra-weak changes in NMR
signal properties.

This technique is currently being investigated by means of theoretical
works and a long series of phantom experiments conducted in collaboration
with the Physikalisch-Technische Bundesanstalt (PTB) in Berlin
and different other partners.

In order to have an better idea what is the project about, interested
people could have a look on these most recent publications about this topic.

1) Höfner N, Albrecht HH, Cassará AM, Curio G, Hartwig S, Haueisen J,
Hilschenz I, Körber R, Martens S, Scheer HJ, Voigt J, Trahms L, Burghoff
M. Are brain currents detectable by means of low-field NMR? A phantom
study. Magn Reson Imaging. 2011 Sep 8. [Epub ahead of print] PubMed PMID:
21907519.

2) Cassará AM, Maraviglia B, Hartwig S, Trahms L, Burghoff M. Neuronal
current detection with low-field magnetic resonance: simulations and
methods. Magn Reson Imaging. 2009 Oct;27(8):1131-9. Epub 2009 Mar 9.
Review. PubMed PMID:19269766.

3) Cassarà AM, Maraviglia B. Microscopic investigation of the resonant
mechanism for the implementation of nc-MRI at ultra-low field MRI.
Neuroimage. 2008 Jul 15;41(4):1228-41. Epub 2008 Apr 8. PubMed PMID:
18474435.

4) Cassarà AM, Hagberg GE, Bianciardi M, Migliore M, Maraviglia B.
Realistic simulations of neuronal activity: a contribution to the debate
on direct detection of neuronal currents by MRI. Neuroimage. 2008 Jan
1;39(1):87-106. Epub 2007 Sep 7. PubMed PMID: 17936018.

To the aim of testing and calibrating a new NMR instrumentation for new
specific measurements of the neuronal currents, we would be interested on
starting a scientific collaboration and an active debate
with some groups experienced in Micro Electrode Recording of human brain.
Data coming from invasive recordings are an essential ingredient for our
comprehension of the neuronal activity and for understanding the kind of
online processing MEG data useful for the experiments.

We would be interested on using previously recorded MER data for
simulations and in order to achieve new additional information about the
timing and the electromagnetic structure of the neuronal currents
in the microscopic scale.

People interested on collaborations, are invited to contact Dr. Antonino
Mario Cassara'.

Contact:
Antonino Mario Cassara'
email: antonio.cassara@ptb.de

Best Regards,

Dr. Antonino M. Cassara'

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[Comp-neuro] Research Associate Position in Biomimetic Control

Research Associate in Biomimetic Control

 

Department of Psychology, The University of Sheffield, UK

 

A full-time fixed-term research post is available from 3 January 2012 with an end date of 31 December 2014 to develop biomimetic algorithms for movement control in the next generation of soft-smart robots. Artificial muscles and soft-smart materials are emerging technologies which are set to have a huge impact on the future of robotics. Together with teams from Bristol Robotics Laboratory and Bristol University we are developing a whisking robot rat that can respond appropriately to novel stimuli detected by both tactile and visual sensors. Our aim is to emulate the flexibility, modularity and robustness of biological systems, and since the cerebellum is the brain structure essential for fine-tuning human performance in sensory and motor tasks, we will exploit known features of cerebellar organisation, in particular the ‘cerebellar chip’ architecture to develop new bio-inspired sensory-motor control algorithms.

 

The post-holder will assist in the development and implementation of these algorithms on the whisking robot. There will be opportunities to visit our partners in Bristol and also to collaborate with neuroscientists and roboticists to help gain a deeper understanding of the function of the cerebellum. This research has promising future applications in both general robotics and more specific areas such as biomimetic robotics for health care and prosthetics.

 

For all on-line application system queries and support, contact: e-Recruitment@sheffield.ac.uk .

 

For informal enquiries about this job and department contact: Dr John Porrill on

j.porrill@sheffield.ac.uk or +44-114-2226557

[Comp-neuro] Researcher Position in Machine Learning for Neuroscience

Researcher Position in Machine Learning for Neuroscience is available in the Neuroinformatics Laboratory (NiLab) at Fondazione Bruno Kessler

The Neuroinformatics Laboratory (NILab) is a joint initiative between Fondazione Bruno Kessler (FBK) and the Center for Mind and Brain Sciences (CIMeC) of the University of Trento in order to promote interdisciplinary research in cognitive neuroscience. Neuroinformatics stands at the intersection of neuroscience and information science and it provides methods and technologies for managing, analyzing, and modeling neuroimaging data. 

The NILab mission spans from scientific to technological aspects. The scientific research activity covers the design and the development of novel methods for the integration, the analysis and the interpretation of unimodal and multimodal neuroimaging data. The laboratory is co-located with the Neuroimaging Laboratory (LNIF) of CIMeC, which provides several facilities for cognitive neuroscience investigations such as MR (4T Brucker Medspec Scanner), MEG/EEG (Electa Neuromag), TMS and EyeTracking. 

The successful candidate will work on the development of computational methods for brain data analysis approaching challenging tasks such as brain decoding, brain mapping and brain connectivity. 

For further information, please contact info.nilab@fbk.eu.

Due to the FBK's attempt to promote equal opportunity and gender balance, in case of equal applications, female candidates will be given preference.

The ideal candidate should have:

* Ph.D. in Computer Science or related fields.

* Solid background in Machine Learning and Pattern Recognition.

* Outstanding publication record.

* At least basic knowledge of the neuroimaging techniques (fMRI, dMRI, MEG, EEG).

* Good skills in scientific programming with Python.

* Proficient English both written and spoken.

Additional requirements / desiderata: 

* Attitude to work in a multidisciplinary environment.

* Ability to quickly learn and use new technologies and tools.

* Ability to acquire knowledge from different application domains.

Type of Contract: research position for a 3 years contract starting November 2011. The gross salary offer will range between € 37,800.00 and € 45,000.00, depending on seniority and expertise.

Useful Links:

Neuroinformatics Laboratory - nilab.fbk.eu

Fondazione Bruno Kessler - www.fbk.eu

Center for Mind/Brain Sciences - www.cimec.unitn.it

To apply online please send your detailed CV with two references to jobs@fbk.eu. 

Emails should have Ref.Code: NILAB_2011

[Comp-neuro] Integrative Theoretical Neuroscience Symposium at USC on January 7

You are cordially invited to the Integrative Theoretical Neuroscience
Symposium at the University of Southern California to be held on Friday,
January 7th. Distinguished speakers of the symposium include:

Terrence J. Sejnowski (Salk Institute)
Bruno Olshausen (UC, Berkeley)
William Bialek (Princeton University)
Ulman Lindenberger (Max-Planck Institute, Berlin)
Eve Marder (Brandeis University)

Kristen Eisenberg

Billige Flüge

Marketing GmbH

Emanuelstr. 3,

10317 Berlin

Deutschland

Telefon: +49 (33)

5310967

Email:

utebachmeier at

gmail.com

Site:

http://flug.airego.de - Billige Flüge vergleichen

[Comp-neuro] CFP: Advances in Complex Systems, Topical Issue on GSO

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Call for Papers: Advances in Complex Systems - Topical Issue on Guided
Self-Organization

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* DESCRIPTION

The goal of Guided Self-Organization (GSO) research is to leverage the
strengths of self-organization while still being able to direct the
outcome of the self-organizing process. The ACS Topical Issue on
Guided Self-Organization aims to condense the current state-of-art in
guided self-organizing systems, including, but not limited to
information- and graph-theoretic foundations of GSO and the
information dynamics of cognitive systems.

A number of attempts have been made to formalize aspects of GSO within
information theory and dynamical systems: empowerment,
information-driven evolution, robust overdesign, reinforcement-driven
homeokinesis, predictive information-based homeokinesis, interactive
learning, etc. However, the lack of a broadly applicable mathematical framework
across multiple scales and contexts leaves GSO methodology incomplete.
Devising such a framework and identifying common principles of
guidance are the main themes of GSO.

* TOPICS AND SUBMISSION

Following the success of the GSO 2010 and 2011 International Workshops
on Guided Self-Organization, we are pleased to announce an open Call
for Papers for a Topical Issue on Guided Self-Organization of the
Advances in Complex Systems Journal. We solicit original research
articles in the field of Guided Self-Organization. Research articles
will be peer-reviewed and selected articules published in the Topical
Issue of the ACS journal.

Advances in Complex Systems (ACS) is a peer-reviewed journal providing
a multi-disciplinary perspective to the study of complex systems:
http://www.worldscinet.com/acs/

ACS predominantly publishes original research articles in the field of
complex systems and encourages submissions of papers which result from
collaborations across traditional academic disciplines. As a
peer-reviewed journal, ACS is committed to the highest scientific
standards. Papers published in ACS should be written in a way that
makes them accessible to a wide range of scientific disciplines. For
details, please see the Guidelines for Contributors in this journal:
http://www.worldscinet.com/acs/mkt/guidelines.shtml

Suitable topics are theoretical, simulative and experimental studies
on various aspects of self-organization, including, but not limited to

- phenomena and mathematical/theoretical formalizations of GSO
- information-theoretic, graph-theoretic statistical-physics and other
models of GSO
- collective and/or cognitive models and incarnations of GSO
- machine learning in cyber-physical systems
- simulations and experiments
- novel GSO paradigms or experiments

For a guide and additional background on GSO, we refer to the 2010 and
2011 Guided Self-Organization Workshops:
http://informatics.indiana.edu/larryy/gso3
http://informatics.indiana.edu/larryy/gso4

We solicit original articles in the field of GSO, and in particular
encouraging the submission of not previously published contributions
based on work presented at GSO 2010 and 2011, but also entirely novel
work with clear connections to Guided Self-Organization.

Manuscripts should present original research that has not been
published and is not under consideration for publication elsewhere.

* EDITORS

The reviewing process will be supervised by guest Editors (Daniel
Polani, Larry Yaeger and Mikhail Prokopenko), together with the
Editorial Board of the ACS.

* DEADLINES

Deadlines are as follows:

- expression of interest (tentative title and list of authors) to
guest editors : 4. November 2011
- submission to ACS: 31 January 2012
- notification: 30 April 2012
- camera-ready papers: 31 May 2012

Details about the submission modalities will be provided closer to the
deadline.

Kind regards,
Daniel Polani, Larry Yaeger, Mikhail Prokopenko
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[Comp-neuro] NIPS 2011 Registration Is Open

NIPS 2011 Registration is now open:
https://nips.cc/Register/

Early registration pricing expires after November 6, 2011

This year the tutorials and conference sessions are being held at the
Palacio de Exposiciones y Congresos (Congress Center) in Granada, Spain

The workshops are being held in the Sierra Nevada, just outside Granada.

Program highlights may be found here:
http://nips.cc/Conferences/2011/Program/
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