Friday, November 29, 2013

[Comp-neuro] Associate Professor (or Assistant Professor) in Neuroscience Search Extended

ASSOCIATE PROFESSOR (OR ASSISTANT PROFESSOR)

NEUROSCIENCE - SCHOOL OF BIOMEDICAL SCIENCES

ROWAN UNIVERSITY

 

The School of Biomedical Sciences at Rowan University invites applications for a tenure-track Associate Professor (or Assistant Professor) position in the area of Neuroscience starting Sept 1, 2014.  The successful candidate is expected to have a strong record of research geared towards biomedically relevant topics and be able to successfully compete for external funding. There is an expectation for leadership opportunities associated with this position. We seek outstanding candidates who will be able to contribute to the development of new interdisciplinary curricula and research initiatives in the School of Biomedical Sciences. Successful candidate will teach courses in their area of expertise in the School of Biomedical sciences and pursue a research program involving graduate/undergraduate students. The individual will actively participate in the development and implementation of degree programs in Translational Biomedical Sciences. 

Salary:  Competitive

General Information:

The recently established School of Biomedical Sciences is a multidisciplinary home for new biomedical initiatives and currently consists of one program, the BS in Translational Biomedical Sciences that will admit its first class of undergraduate students in fall 2014. The program is delivered by several faculty members with joint appointments in departments within the College of Science and Mathematics.  It also provides opportunities to collaborate with both the allopathic and osteopathic medical schools at Rowan University.

The deadline date has been extended to January 15, 2014.

The application must be submitted through our online application system, URL link,http://rowanuniversity.hodesiq.com/job-details.aspx?jobid=3974550 as a single pdf file containing curriculum vitae, a detailed description of research plans, a statement of teaching philosophy, and graduate transcripts (copies acceptable). Three letters of recommendation should be sent via email directly by references to sbs@rowan.edu.

All positions are contingent upon budget appropriations. 


Rowan University values diversity and is committed to equal opportunity in employment.


Requirements:

A Ph.D. in neuroscience or closely related field is required. Successful candidates are expected to have a strong record of research geared towards biomedically relevant topics and be able to successfully compete for external funding. 

[Comp-neuro] Post-doc with focus on statistical learning for analysis of speech coding in the human brain

The Department of Applied Neurocognitive Psychology at Oldenburg University, Germany, offers a

Post-doctoral position (salary level E13 TVL, 3 years)

with a focus on signal processing / statistical learning for analysis of speech coding in the human brain. 

The position is linked to the collaborative research center "The Active Auditory System" SFB-TR 31. The research center aims to characterize and model mechanism of auditory object formation and scene analysis by combining psychophysical, neurophysiological, and quantitative modelling. It complements the Excellence Cluster "Hearing 4 All" which was recently awarded to the University of Oldenburg. The combined effort of these centers will establish a strong link between neurophysiological models of auditory object representation and subjective perception.

The post-doctoral position is situated in a project that applies statistical learning methods to human intracranial recordings (ECoG) and fMRI to derive and test quantitative statistical models of speech coding in the human brain. The experiments are performed in a highly interdisciplinary lab environment and in close collaboration with the University of California Berkeley and Stanford University.

The quantitative nature of the research project will require highly motivated candidates with strong quantitative and experimental skills. Successful candidates will perform cutting edge research and should have a background in one or more of the following fields: signal processing, statistical learning, brain-machine-interfacing, non-invasive or invasive human neurophysiology of the auditory system. Applicants must have an academic university degree (Master or equivalent) and a PhD (or equivalent).

Successful candidates will work in an interdisciplinary network with opportunities for international exchange.

The post-doctoral position is initially limited to three years, with an option for extension, and can be split.

Applications should include your CV, a list of most recent publications, two recommendation letters, and a research statement (max. 3 pages). The University of Oldenburg is an equal opportunity employer. The University of Oldenburg is dedicated to increasing the percentage of women in science. Therefore, equally qualified female candidates will be given preference. Applicants with disabilities will be preferentially considered in case of equal qualification.

Please send inquiries and electronic applications per email (preferred) to Professor Dr. Jochem Rieger: Jochem.rieger(at)uni-oldenburg.de

or paper applications per regular mail to:

Margrit Jung
Dept. of Applied Neurocognitive Psychology
Institute of Psychology
Oldenburg University
26111 Oldenburg
Germany

Application deadline is December 16th, 2013.
--   Prof. Dr. rer. nat. Jochem Rieger  Director, Institute of Psychology     Head of Applied Neurocognitive | Knight Lab  Psychology                     | Helen Wills Neuroscience Institute  Faculty VI                     | University of California  Carl-von-Ossietzky University  | 132 Barker Hall  26111 Oldenburg                | Berkeley, CA 94720-3192  Germany                        | USA    Phone: +49(0)4417984533  Fax:   +49(0)4417983865  

Thursday, November 28, 2013

[visionlist] Postdoctoral/Research Assistant position in Experimental/computational Vision/Neuroscience available in University College London (UK)

The laboratory of Zhaoping Li in University College London (UK) has such
a position opening. The research interest of her lab is mainly focused
on vision, using both computational and psychological methods. It is not
necessary for a candidate to be skilled in both the computational and
experimental aspects, but must be skilled in one of them. The lab also
collaborates with other researchers including those working on
physiology and functional fMRI, and research projects beyond vision are
also of interests. More details of the research interests are at
www.cs.ucl.ac.uk/staff/Zhaoping.Li/ We are looking for a talented
individual for a position which is for about 2 years and renewable.
Interested individuals please contact Zhaoping Li at z.li@ucl.ac.uk,
send a CV and a Statement of Research Interests to apply.
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[Comp-neuro] Postdoctoral/Research Assistant position in Experimental/computational Vision/Neuroscience available in University College London (UK)

The laboratory of Zhaoping Li in University College London (UK) has such
a position opening. The research interest of her lab is mainly focused
on vision, using both computational and psychological methods. It is not
necessary for a candidate to be skilled in both the computational and
experimental aspects, but must be skilled in one of them. The lab also
collaborates with other researchers including those working on
physiology and functional fMRI, and research projects beyond vision are
also of interests. More details of the research interests are at
www.cs.ucl.ac.uk/staff/Zhaoping.Li/ We are looking for a talented
individual for a position which is for about 2 years and renewable.
Interested individuals please contact Zhaoping Li at z.li@ucl.ac.uk,
send a CV and a Statement of Research Interests to apply.
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Wednesday, November 27, 2013

[Comp-neuro] Job Opportunities at the Swiss AI Lab IDSIA

Join the Deep Learning team that won more international competitions in machine learning and pattern recognition than any other research group [1-6], and the first team to create superhuman visual classifiers [2]. We are at the Swiss AI Lab IDSIA [7], in the world's leading science nation [8], also the world's most competitive country for the 5th year in a row [9] - since 2009, when our neural networks (NN) became the first Deep Learning systems to win official international contests [5]. We are especially interested in candidates applying for our prestigious Marie Curie Experienced Researcher Fellowship connected to the ProtoTouch project (a postdoctoral position) [10]. We offer a highly competitive Swiss salary. Please follow the instructions [11]. Deadline 8 December 2013 (right after NIPS).

[1] Deep Learning since 1991 - our deep NN have, so far, won 9 important contests in pattern recognition, image segmentation, object detection www.deeplearning.it

[2] First superhuman visual pattern recognition in an official international competition (with secret test set known only to the organisers) - twice better than humans, three times better than the closest artificial NN competitor, six times better than the best non-neural method http://www.idsia.ch/~juergen/superhumanpatternrecognition.html

[3] Our deep NN won both the MICCAI 2013 Grand Challenge and the ICPR 2012 contest on Mitosis Detection (important for cancer prognosis etc, perhaps the most important application area of Deep Learning) http://www.idsia.ch/~juergen/deeplearningwinsMICCAIgrandchallenge.html

[4] Our deep NN won the ISBI'12 brain image segmentation challenge (relevant for the billion € brain projects in EU and US) http://www.idsia.ch/~juergen/deeplearningwinsbraincontest.html

[5] 2009: First international competitions won by Deep Learning (deep LSTM recurrent neural networks for connected handwriting) http://www.idsia.ch/~juergen/handwriting.html

[6] Overview: My first Deep Learner of 1991 + Deep Learning timeline 1962-2013 (also summarises the origins of backpropagation, still the central algorithm of Deep Learning) www.deeplearning.me

[7] The Swiss AI Lab IDSIA http://www.idsia.ch/

[8] The world's leading science nation with the most Nobels/patents/citations/funding per capita
http://www.idsia.ch/~juergen/switzerland.html

[9] Global Competitiveness Reports 2009-2013 http://en.wikipedia.org/wiki/Global_Competitiveness_Report
http://www.reuters.com/article/2013/09/03/us-economy-competitiveness-idUSBRE98215T20130903

[10] ProtoTouch project http://cordis.europa.eu/projects/rcn/105932_en.html

[11] Get a job! http://www.idsia.ch/~juergen/eu2013.html




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[Comp-neuro] Opportunity in Open Source Brain project for experienced software developer

(Apologies for cross postings)

The Open Source Brain initiative (http://www.opensourcebrain.org) is
looking to hire an experienced software developer to further develop the
collaborative web infrastructure for this project as part of our
multidisciplinary group at University College London:
https://atsv7.wcn.co.uk/search_engine/jobs.cgi?owner=5041178&ownertype=fair&jcode=1380523

This would be a great opportunity for someone who has plenty of
experience with Java development (and a good helping of
Python/Ruby/Javascript/jQuery) to get a job at the leading edge of
efforts to build a truly open infrastructure for modelling and
understanding the brain. Previous experience in computational
neuroscience is an advantage, though excellent software development
skills in a web environment and a desire to make a difference in this
field are essential.

Deadline for applications is 4 Dec 2013.


-----------------------------------------------------
Padraig Gleeson
Room 321, Anatomy Building
Department of Neuroscience, Physiology& Pharmacology
University College London
Gower Street
London WC1E 6BT
United Kingdom

+44 207 679 3214
p.gleeson@ucl.ac.uk
-----------------------------------------------------


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Tuesday, November 26, 2013

[Comp-neuro] GCC Conference on Theoretical and Computational Neuroscience - Houston TX

GCC Conference on Theoretical and Computational Neuroscience - Houston TX
Friday January 31, 2014 at Rice University, Houston TX

Registration is free and now open at:
where you can find the program (with talk titles); nearby hotels; and poster abstract submission.

Confirmed Speakers:
Alexander Huk, University of Texas
Zachary Kilpatrick, University of Houston
Peter Latham, University College London
Edvard Moser, Norwegian University of Science and Technology
Stephanie Palmer, University of Chicago
Xaq Pitkow, Baylor College of Medicine
Terry Sejnowski, Salk Institute

The Gulf Coast Consortium (GCC) in theoretical and computational neuroscience has held an annual conference since 2003. Our interdisciplinary, multi-institutional program aims to train researchers to apply tools from mathematics, physics, and engineering to solve problems in neuroscience. Faculty within the program collaborate on projects that combine experimental and computational approaches. This collective reaches between six leading research institutions: Baylor College of Medicine, Rice University, University of Houston, UT-Health Science Center, UTMB-Health, and MD Anderson Cancer Center. It is in this spirit that we have invited a variety of leading experimentalists and theorists to present cutting-edge results in neuroscience.

[Comp-neuro] Applied math position at UT San Antonio

The mathematics department at UT San Antonio is searching for a tenure-track assistant professor in applied math, with a preference for applicants who will interact with the mathematically inclined folks in UTSA's neurosciences institute.   Information on UTSA's Mathematics program, and the full version of this ad along with application instructions can be viewed at http://math.utsa.edu.  Information about the neurosciences institute can be found at http://neuroscience.utsa.edu. UTSA is an Affirmative Action/Equal Employment Opportunity Employer. 


Todd Troyer
Dept. of Biology
UT San Antonio

[Comp-neuro] IT Specialist positions in the Center for Research, Inovation, and Dissemination NeuroMat (University of Sao Paulo - Brazil) - Scholarship TT5 -

Dear colleagues,

The recently established Research, Innovation and Dissemination Center
on Neuromathematics (NeuroMat), hosted by the University of São Paulo,
Brazil, and funded by FAPESP (São Paulo Research Foundation) is
offering technical training scholarships for Computer
Science/Engineering professionals interested in applying their
Computing experience on a world class scientific project.

This project aims to integrate modeling with basic and applied
research at the frontier of neuroscience. The goal of the project is
to develop a mathematical and computational framework leading to the
theoretical understanding of neural systems, fully integrated with
experimental research in neuroscience. New models, theories, and open
source software will be developed to handle the huge quantity of data
produced by current experimental research and to provide a conceptual
framework for the multiscale aspects of neural phenomena.

The recipient will interact with researchers from University of São
Paulo and other NeuroMat collaborating institutions in supporting
activities for the research activities of the center, including
obtaining electrophysiological signals (such as EEG, TMS and EMG) in
experimental sessions, and signal data conditioning and analysis.

- Monthly Salary: BRL 5.908,80 (for 40 hours of work per week)

- Requirements: applicants should be graduated in Computer
Science/Engineering (or other related area) and must have a Ph.D.
degree OR at least five years of proven experience in Information
Technology. Candidates with less experience may still apply and an
appropriate salary will be negotiated with FAPESP.

- Duration: twelve to twenty-four months.

- Place of work: Institute of Mathematics and Statistics (IME) -
University of São Paulo (USP) - São Paulo / Brazil.

- Planned activities include meetings aimed at familiarizing the
candidate with experimental protocols of the research sub-projects,
accompanying experimental sessions for data gathering and
technical-laboratorial support in acquiring electrophysiological
signals, implementation of computational tools for digital signal
processing aimed at conditioning and manipulation of acquired signals,
as well as implementation of statistical algorithms and techniques for
analysis and classification of gathered data. Software developed
within NeuroMat will be both used internally by members of the project
as a means to carry on the project-related research, as well as
released as Open Source Software on the Web portal of the project.

The scholarships will be awarded to candidates with experience in
digital signal processing (preferably, but not exclusively, in
electrophysiological signals), including representation, transforms
and manipulation of signals in time and frequency domains, and who
possess basic knowledge of wavelets. Candidates must also be familiar
with high-level programming languages used in scientific computing,
such as Matlab or Octave, and in statistical analysis, such as R.


To apply for one of these positions, please send your CV to Lourdes
Netto (lourdesv@ime.usp.br) until 13/01/2014.

Yours faithfully,

---
Amanda S. Nascimento, Ph.D. in Computer Science |
Research Fellow at the University of São Paulo (USP)


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[Comp-neuro] Postdoctoral Associate in Computational Neuroscience - Boston University Neuromorphics Laboratory - nl.bu.edu

Job position:

Postdoctoral Associate in Computational Neuroscience

Boston University Neuromorphics Laboratory

http://nl.bu.edu

 

Be at the forefront of designing the next generation neural models to power mobile robots. The Boston University Neuromorphics Lab (nl.bu.edu), working with NASA and industrial partners, is researching cutting-edge neuromorphic models and will help translate this technology into real products for consumers and businesses.

 

This postdoctoral associate position has the duration of 1 year renewable (renewal pending availability of funding). The candidate will be working in close collaboration with computational neuroscientists and industrial partners to design and implement large-scale neural system to allow an autonomous agent (virtual and robotic) to perceive and act in real and virtual environments.

 

Responsibilities include the design and developments of biologically-inspired modules for perception, navigation, planning, and motor control. It is expected that the successful applicant will work toward developing one or more of these modules. Strong emphasis will be put on learning, adaptation, autonomy, and on models that abide to constraints of parallelism and locality in order to allow scalable implementation. Additionally, the candidate should be able to work with our partners to create demonstrations of the technology in mobile robotic platforms.


Qualifications: Successful candidates should have a PhD in computational neuroscience, computer vision, machine learning, or a related field, with a strong background in computational modeling. Proficiency in programming in C/C++, Java, or C# is essential. Competence in analytical methods (linear algebra, elementary geometry, differential equations, probability theory) is preferred. Experience with parallel programming and virtual environment is a big plus.

 

Additional information about the work is available at these URLs:

http://nl.bu.edu/news-and-events/news/adaptive-bio-inspired-navigation-for-planetary-exploration-%E2%80%93-phase-i-results/

 

http://www.bu.edu/today/2013/the-robot-as-decider/


http://nl.bu.edu/news-and-events/news/active-vision-controlling-foveation-in-a-pan-tilt-camera-on-a-mobile-robot/


Please apply here: nl@cns.bu.edu

 



--
****************************************************
Massimiliano Versace, PhD
Director, Neuromorphics Lab, Boston University
Research Assistant Professor, Center for Computational Neuroscience & Neural Technology
Mob. +1.617.416.6817 Skype: maxversace
http://www.maxversace.com
http://www.neurala.com
http://www.neurdon.com

****************************************************

[Comp-neuro] SAN/NIHC deadline abstract submissions is December 1st

Dear colleague,

You are cordially invited to submit your contribution to the Society for Applied Neuroscience (SAN) conference, both papers and poster presentations are welcome.To submit an abstract please follow this link: http://applied-neuroscience.org/index.php/san2014/call-for-abstracts Deadline for abstract submissions is December 1st.

Program
There is an updated version of the program online.

Keynote speakers include: Niels Birbaumer, John Gruzelier, Katya Rubia, Pascal Fries, Jeff Daskalakis, Thomas Schlaepfer, Guy Cheron.

Below a selection of the wide range of sessions:
- Sleep, circadian rhythmicity and Chronobiology (Eus van Someren)
- Wakefulness regulation, QEEG and individualized medicine (Christian Sander)
- Neurofeedback in ADHD (Ute Strehl & Hartmut Heinrich)
- Food, Brain and Cognition (Anita Jansen)
- Human enhancement & optimal performance (John Gruzelier)
- Brain Computer Interfaces (BCI) (Nick Ramsey)
- Affective Neuroscience (Guillen Fernandez)
- Neurofeedback and learning theory (Rien Breteler)
- Social Neuroscience (Jack van Honk)
- Non-EEG Neurofeedback: fMRI, NIRS (Rainer Goebel)
- Learning, Education and Neuroscience (Lydia Krabbendam)
- Traumatic Brain Injury & Blast Injury (Eric Vermetten)
- Novel insights into the role of repetitive transcranial magnetic stimulation (rTMS) in the treatment of depression and schizophrenia (Dennis Schutter)

Register
We hope that you will find the program as attractive as we do, and that you will join us in Utrecht. If you didn't do so already, please register here by January 10th, 2014.

The conference is jointly organized by the Society of Applied Neurosciences (SAN) and the National Initiative Brain and Cognition (NIHC) and is aimed at highlighting a wide range of applications of brain and cognition research. The conference will be held from January 30th to February 2nd, 2014 in the Royal Dutch Jaarbeurs in Utrecht (The Netherlands).

On MailScanner has detected a possible fraud attempt from "applied-neuroscience.us3.list-manage2.com" claiming to be http://applied-neuroscience.org/index.php/san2014/ you can find more information about this conference, e.g registration details and abstract submission details.

We look forward to welcoming you in Utrecht!


Kind regards,

Martijn Arns, Leon Kenemans & John Gruzelier
SAN 2014 Organising Committee

[Comp-neuro] Deadline extension, December 12 || ICAS 2014 || April 20 - 24, 2014 - Chamonix, France

INVITATION:

=================
Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to ICAS 2014.

The submission deadline is December 12, 2013.

Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org
=================


============== ICAS 2014 | Call for Papers ===============

CALL FOR PAPERS, TUTORIALS, PANELS

ICAS 2014, The Tenth International Conference on Autonomic and Autonomous Systems

April 20 - 24, 2014 - Chamonix, France


General page: http://www.iaria.org/conferences2014/ICAS14.html

Call for Papers: http://www.iaria.org/conferences2014/CfPICAS14.html

- regular papers
- short papers (work in progress)
- posters
- ideas

Submission page: http://www.iaria.org/conferences2014/SubmitICAS14.html
Submission deadline: December 12, 2013

Sponsored by IARIA, www.iaria.org
Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org
Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html
Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org

Please note the Poster and Work in Progress options.

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels.

Before submission, please check and comply with the editorial rules: http://www.iaria.org/editorialrules.html

ICAS 2014 Topics (topics and submission details: see CfP on the site)

SYSAT: Advances in system automation

Methods, techniques ant tools for automation features; Methodologies for automating of design systems; Industrial automation for production chains; Nonlinear optimization and automation control; Nonlinearities and system stabilization; Automation in safety systems; Structured uncertainty; Open and closed automation loops; Test systems automation; Theory on systems robustness; Fault-tolerant systems

AUTSY: Theory and Practice of Autonomous Systems

Design, implementation and deployment of autonomous systems; Frameworks and architectures for component and system autonomy; Design methodologies for autonomous systems; Composing autonomous systems; Formalisms and languages for autonomous systems; Logics and paradigms for autonomous systems; Ambient and real-time paradigms for autonomous systems; Delegation and trust in autonomous systems; Centralized and distributed autonomous systems; Collocation and interaction between autonomous and non-autonomous systems; Dependability in autonomous systems; Survivability and recovery in autonomous systems; Monitoring and control in autonomous systems; Performance and security in autonomous systems; Management of autonomous systems; Testing autonomous systems; Maintainability of autonomous systems

AWARE: Design and Deployment of Context-awareness Networks, Services and Applications

Context-aware fundamental concepts, mechanisms, and applications; Modeling context-aware systems; Specification and implementation of awareness behavioral contexts; Development and deployment of large-scale context-aware systems and subsystems; User awareness requirements and design techniques for interfaces and systems; Methodologies, metrics, tools, and experiments for specifying context-aware systems; Tools evaluations, Experiment evaluations

AUTONOMIC: Autonomic Computing: Design and Management of Self-behavioral Networks and Services

Theory, architectures, frameworks and practice of self-adaptive management mechanisms; Modeling and techniques for specifying self-ilities; Self-stabilization and dynamic stability criteria and mechanisms; Tools, languages and platforms for designing self-driven systems; Autonomic computing and GRID networking; Autonomic computing and proactive computing for autonomous systems; Practices, criteria and methods to implement, test, and evaluate industrial autonomic systems; Experiences with autonomic computing systems

CLOUD: Cloud computing and Virtualization

Hardware-as-a-service; Software-as-a-service [SaaS applicaitions]; Platform-as-service; On-demand computing models; Cloud Computing programming and application development; Scalability, discovery of services and data in Cloud computing infrastructures; Privacy, security, ownership and reliability issues; Performance and QoS; Dynamic resource provisioning; Power-efficiency and Cloud computing; Load balancing; Application streaming; Cloud SLAs, business models and pricing policies; Custom platforms; Large-scale compute infrastructures; Managing applications in the clouds; Data centers; Process in the clouds; Content and service distribution in Cloud computing infrastructures; Multiple applications can run on one computer (virtualization a la VMWare); Grid computing (multiple computers can be used to run one application); Virtualization platforms; Open virtualization format; Cloud-computing vendor governance and regulatory compliance

MCMAC: Monitoring, Control, and Management of Autonomous Self-aware and Context-aware Systems

Agent-based autonomous systems; Policy-driven self-awareness mechanisms and their applicability in autonomic systems; Autonomy in GRID networking and utility computing; Studies on autonomous industrial applications, services, and their developing environment; Prototypes, experimental systems, tools for autonomous systems, GRID middleware

CASES: Automation in specialized mobile environments

Theory, frameworks, mechanisms and case studies for satellite systems; Spatial/temporal constraints in satellites systems; Trajectory corrections, speed, and path accuracy in satellite systems; Mechanisms and case studies for nomadic code systems; Platforms for mobile agents and active mobile code; Performance in nomadic code systems; Case studies systems for mobile robot systems; Guidance in an a priori unknown environment; Coaching/learning techniques; Pose maintenance, and mapping; Sensing for autonomous vehicles; Planning for autonomous vehicles; Mobile networks, Ad hoc networks and self-reconfigurable networks

ALCOC: Algorithms and theory for control and computation

Control theory and specific characteristics; Types of computation theories; Tools for computation and control; Algorithms and data structures; Special algorithmic techniques; Algorithmic applications; Domain case studies; Technologies case studies for computation and control; Application-aware networking

MODEL: Modeling, virtualization, any-on-demand, MDA, SOA

Modeling techniques, tools, methodologies, languages; Model-driven architectures (MDA); Service-oriented architectures (SOA); Utility computing frameworks and fundamentals; Enabled applications through virtualization; Small-scale virtualization methodologies and techniques; Resource containers, physical resource multiplexing, and segmentation; Large-scale virtualization methodologies and techniques; Management of virtualized systems; Platforms, tools, environments, and case studies; Making virtualization real; On-demand utilities; Adaptive enterprise; Managing utility-based systems; Development environments, tools, prototypes

SELF: Self-adaptability and self-management of context-aware systems

Novel approaches to modeling and representing context adaptability, self-adaptability, and self-manageability; Models of computation for self-management context-aware systems; Use of MDA/MDD (Model Driven Architecture / Model Driven Development) for context-aware systems; Design methods for self-adaptable context-aware systems; Applications of advanced modeling languages to context self-adaptability; Methods for managing adding context to existing systems and context-conflict free systems; Architectures and middleware models for self-adaptable context-aware systems; Models of different adaptation and self-adaptation mechanisms (component-based adaptation approach, aspect oriented approach, etc.); System stability in the presence of context inconsistency; Learning and self-adaptability of context-aware systems; Business considerations and organizational modeling of self-adaptable context-aware systems; Performance evaluation of self-adaptable context-aware systems; Scalabilit!
y of self-adaptable context-aware s
ystems

KUI: Knowledge-based user interface

Evolving intelligent user interface for WWW; User interface design in autonomic systems; Adaptive interfaces in a knowledge-based design; Knowledge-based support for the user interface design process; Built-in knowledge in adaptive user interfaces; Requirements for interface knowledge representation; Levels for knowledge-based user interface; User interface knowledge on the dynamic behavior; Support techniques for knowledge-based user interfaces; Intelligent user interface for real-time systems; Planning-based control of interface animation; Model-based user interface design; Knowledge-based user interface migration; Automated user interface requirements discovery for scientific computing; Knowledge-based user interface management systems; 3D User interface design; Task-oriented knowledge user interfaces; User-interfaces in a domestic environment; Centralised control in the home; User-interfaces for the elderly or disabled; User-interfaces for the visually, aurally, or mobil!
ity impaired; Interfacing with ambi
ent intelligence systems; Assisted living interfaces; Interfaces for security/alarm systems

AMMO: Adaptive management and mobility

QoE and adaptation in mobile environments; Content marking and management (i.e. MPEG21); Adaptive coding (H.265, FEC schemes, etc.. ); Admission control resource allocation algorithms; Monitoring and feedback systems; Link adaptation mechanisms; Cross layer approaches; Adaptation protocols (with IMS and NGNs scenarios); QoE vs NQoS mapping systems; Congestion control mechanisms; Fairness issues (fair sharing, bandwidth allocation...); Optimization/management mechanisms (MOO, fuzzy logic, machine learning, etc.)

-------------------------------------
Committee: http://www.iaria.org/conferences2014/ComICAS14.html

ICAS Advisory Chairs
Michael Bauer, The University of Western Ontario - London, Canada
Radu Calinescu, University of York, UK
Michael Grottke, University of Erlangen-Nuremberg, Germany
Bruno Dillenseger, Orange Labs, France
Mark J. Balas, University of Wyoming - Laramie, USA
Alex Galis, University College London, UK
Antonio Liotta, Eindhoven University of Technology, The Netherlands
Jacques Malenfant, Universit� Pierre et Marie Curie, France
Mark Perry, University of New England in Armidale, Australia
Wendy Powley, Queen's University - Kingston, Canada
Nikola Serbedzija, Fraunhofer FOKUS, Germany
================================================
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Monday, November 25, 2013

[Comp-neuro] CFP "Advances in Spiking Neural Information Processing Systems" - ESANN 2014 Special Session Call for Papers -- extended deadline 06/12/2013

*** Apologies for cross posting ***

ESANN 2014 Special Session - "Advances in Spiking Neural Information Processing Systems (SNIPS)" - CALL FOR PAPERS

European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014). 23-25 April 2014, Bruges, Belgium - http://www.esann.org

Submissions are invited for next year ESANN Special Session "Advances in Spiking Neural Information Processing Systems (SNIPS)".


EXTENDED DEADLINE: ***06 December 2013***

ORGANISERS:

Sander Bohte (CWI, The Netherlands)

André Grüning (University of Surrey, United Kingdom)


ABSTRACT

Spiking neural networks have been heralded as "the third generation" of neural networks quite a while ago already. Over the last decade, various spiking neural network models have been proposed, alongside a similar increasing interest in spiking models of computation in computational neuroscience. Still, state-of-the-art neural networks, like deep learning models, are based on traditional neural networks. In this special session, we want to bring together advances in spiking neural networks that challenge, or go beyond, the current state-of-the-art in neural networks.


TOPICS

In this special session, we are looking to bring together researchers interested in developing and applying learning algorithms for spiking neural networks that

· make use of learning,


· are supervised or unsupervised,


· aim to be biologically plausible,

· aim to be cognitively plausible or

· aim to be technically efficient.

Examples of such work could include probabilistic, efficient, logical and/or dynamical spiking computation.

SUBMISSION & IMPORTANT DATES

We kindly invite you to submit a paper to this special session. Each paper will undergo to a peer reviewing process for its acceptance. Paper submission should be done exclusively through the ESANN portal following the instructions provided in: (http://www.elen.ucl.ac.be/esann/).

Kind regards,

Sander Bohte and André Grüning

[Comp-neuro] Living Machines III: First Call for Papers, Satellite Events and Sponsors

______________________________________________________________

First Call for Papers, Satellite Events and Sponsors

Living Machines III: The 3rd International Conference on Biomimetic
and Biohybrid Systems
30th July to 1st August 2014

http://csnetwork.eu/livingmachines

To be hosted at the
Museo Nazionale Della Scienza E Della Tecnologia Leonardo Da Vinci
(National Museum of Science and Technology Leonardo da Vinci)
Milan, Italy
In association with the Instituto Italiano di Technologia (IIT)

Accepted papers will be published in
Springer Lecturer Notes in Artificial Intelligence
Submission deadline March 14th, 2014.

______________________________________________________________

ABOUT LIVING MACHINES 2014

The development of future real-world technologies will depend strongly
on our understanding and harnessing of the principles underlying
living systems and the flow of communication signals between living
and artificial systems.

Biomimetics is the development of novel technologies through the
distillation of principles from the study of biological systems. The
investigation of biomimetic systems can serve two complementary goals.
First, a suitably designed and configured biomimetic artefact can be
used to test theories about the natural system of interest. Second,
biomimetic technologies can provide useful, elegant and efficient
solutions to unsolved challenges in science and engineering. Biohybrid
systems are formed by combining at least one biological component—an
existing living system—and at least one artificial, newly-engineered
component. By passing information in one or both directions, such a
system forms a new hybrid bio-artificial entity. The following are
some examples:

• Biomimetic robots and their component technologies (sensors,
actuators, processors) that can intelligently interact with their
environments.
• Active biomimetic materials and structures that self-organize
and self-repair.
• Biomimetic computers—neuromimetic emulations of the
physiological basis for intelligent behaviour.
• Biohybrid brain-machine interfaces and neural implants.
• Artificial organs and body-parts including sensory organ-chip
hybrids and intelligent prostheses.
• Organism-level biohybrids such as robot-animal or robot-human systems.

ACTIVITIES

The main conference will take the form of a three-day single-track
oral and poster presentation programme, 30th July to 1st August 2014,
hosted at the Museo Nazionale Della Scienza E Della Tecnologia
Leonardo Da Vinci in Milan (http://www.museoscienza.org).

The conference programme will include five plenary lectures from
leading international researchers in biomimetic and biohybrid systems,
and the demonstrations of state-of-the-art living machine technologies

The full conference will be preceded by up to two days of Satellite
Events hosted by the Instituto Italiano di Technologia in Milan.

SUBMITTING TO LIVING MACHINES 2014

We invite both full papers and extended abstracts in areas related to
the conference themes. All contributions will be refereed and
accepted papers will appear in the Living Machines 2014 proceedings
published in the Springer-Verlag LNAI Series. Submissions should be
made before the advertised deadline via the Springer submission
site:http://senldogo0039.springer-sbm.com/ocs/en/home/LM2014

Full papers (upto 12 pages) are invited from researchers at any stage
in their career but should present significant findings and advances
in biomimetic or biohybid research; more preliminary work would be
better suited to extended abstract submission (3 pages). Further
details of submission formats will be circulated in an updated CfP and
will be posted on the conference web-site.

Full papers will be accepted for either oral presentation (single
track) or poster presentation. Extended abstracts will be accepted for
poster presentation only.

Authors of the best full papers will be invited to submitted extended
versions of their paper for publication in a special issue of
Bioinspiration and Biomimetics.

Satellite events

Active researchers in biomimetic and biohybrid systems are invited to
propose topics for 1-day or 2-day tutorials, symposia or workshops on
related themes to be held 28-29th July at Italian Institute of
Technology in Milan. Events can be scheduled on either the 28th or
29th or across both days. Attendance at satellite events will attract
a small fee intended to cover the costs of the meeting. There is a
lot of flexibility about the content, organisation, and budgeting for
these events. Please contact us if you are interested in organising a
satellite event!

EXPECTED DEADLINES

March 14th, 2014 Paper submission deadline

April 29th, 2014 Notification of acceptance

May 20th, 2014 Camera ready copy

July 29-August 2nd 2014 Conference

SPONSORSHIP

Living Machines 2014 is sponsored by the Convergent Science Network
(CSN) for Biomimetics and Neurotechnology. CSN is an EU FP7 Future
Emerging Technologies Co-ordination Activity that also organises two
highly successful workshop series: the Barcelona Summer School on
Brain, Technology and Cognition (http://bcbt.upf.edu/bcbt12/) and the
Capoccaccia Neuromorphic Cognitive Engineering Workshop
(http://capocaccia.ethz.ch/capo/wiki/2012).

The 2014 Living Machines conference will also be hosted and sponsored
by the Instituto Italiano di Technologia (http://www.iit.it).

Call for Sponsors. Other organisations wishing to sponsor the
conference in any way and gain the corresponding benefits by promoting
themselves and their products to through conference publications, the
conference web-site, and conference publicity are encouraged to
contact the conference organisers to discuss the terms of sponsorship
and necessary arrangements. We offer a number of attractive and
good-value packages to potential sponsors.

ABOUT THE VENUE

Living Machines 2014 continues our practice of hosting our annual
meeting in an inspirational venue related to the conference themes.
The scientific and technological genius Leonardo da Vinci drew much of
his inspiration from biology and invented many biomimetic artefacts.
We are therefore delighted that this year's conference will be hosted
at the Da Vinci museum of Science and Technology in Milan, one of the
largest technology museums in Europe and host to a collection of
working machines that realise many of Da Vinci's ideas. We look
forward to seeing you in Milan.

Organising Committee:

Tony Prescott, University of Sheffield (Co-chair)
Paul Verschure, Universitat Pompeu Fabra (Co-chair)
Armin Duff, Universitat Pompeu Fabra (Program Chair)
Giorgio Metta, Instituto Italiano di Technologia (Local Organizer)
Barbara Mazzolai, Instituto Italiano di Technologia (Local Organiser)
Anna Mura, Universitat Pompeu Fabra (Communications)
Nathan Lepora, University of Bristol (Communications)
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Saturday, November 23, 2013

[Comp-neuro] Special issue on the hard problem of consciousness

JOURNAL OF INTEGRATIVE NEUROSCIENCE
http://www.worldscinet.com/jin

CALL FOR PAPERS
Special issue on the hard problem of consciousness

Deadline for submission: 31 January 2014

What is the function of consciousness? If define as Mark Solms suggests that consciousness as an evaluative mechanism, built by evolution which enables the subject to know information about current status as an organism then the function of consciousness, is the ability of expressing emotional feeling. Sources of consciousness are thus limited to more evolved mammals like primates where information is continuously handled, but not digital computers where information is discretely processed. Consciousness as a processor of information is therefore limited for understanding the nature of consciousness which undoubtedly rests on a different platform to information processing. Can such a non-information processing paradigm solve the hard problem of consciousness? The role physical interactions have in creating consciousness and the extent to which these interactions create subjective qualities of experience is David Chalmers' hard problem. Unfortunately theoretical neuroscience does not have yet ways in solving the hard problem of consciousness because "sentience" cannot be algorithmically represented through reductionism. Providing a solution to this problem requires an understanding of this difficulty. According to Colin McGinn the difficulty comes from consciousness being nowhere and everywhere in the brain, thus not amenable to the methodic reductionist analysis. This is another way of thinking about Chalmers' hard problem. Consciousness arises from widespread cortical integration of dynamic continuity across scale. Computation of dynamic continuity through methodological reductonionism brings about disintegration of cortical activity. This is exactly a neuronal interpretation of McGinn's viewpoint. Consciousness is incomputable due to the methodological consequences of approximations used in computation of dynamic continuity across scale through reductionism. In principle, to integrate across scale, one needs for a dynamic continuity that is capable of capturing the continuous electrical integration of information. This special issue will address such conceptual problems of methodological reductionism in solving the hard problem of consciousness. Its other aim is to provide a paradigm shift in our understanding the nature and function of consciousness. A wide selection of papers from diverse fields like neuropsychology, neurophysics, and neuropsychoanalysis are particularly welcome.

Enquires welcome.






-------
Roman R. Poznanski
Professor
Laboratory of Biological Modeling
The Rockefeller University
1230 York Avenue
New York, NY 10065-6399
Office: (212) 327-7646
E-mail: rpoznanski@rockefeller.edu
http://romanpoznanski.blogspot.com
and
Chief-Editor,
Journal of Integrative Neuroscience
http://www.worldscinet.com/jin/mkt/editorial.shtml
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[Comp-neuro] Face Perception: Post-doctoral position at Ohio State University

We are looking for a post-doc to work in the area of computational modeing of face perception and/or computational neuroscience. A strong background in vision, cognitive science (or cognitive neuroscience) and statistics is required. We will consider PhDs from cognitive science, psychology, neuroscience and computer vision and machine learning. The ideal candidate has previous publications in the top journals and conferences in the area.

Application Instructions: Submit full CV and ask two reviewers to directly email us their letter of evaluation. CV should list journal and conference papers. A link to a personal page or the applicant's Google-Scholar page is highly recommended. Applicants are also encouraged to include a cover letter with the reasons for applying to this position and a summary of goals. CV and letters should be sent to aleix@ece.osu.edu

Friday, November 22, 2013

[Comp-neuro] Cognitive Neuroscience Faculty Position

FACULTY POSITION
COGNITIVE NEUROSCIENCE
FLORIDA ATLANTIC UNIVERSITY

The Center for Complex Systems and Brain Sciences, and the Department of Psychology, at Florida Atlantic University invite applications for a tenure-track faculty position in cognitive neuroscience at the Assistant Professor level.  Candidates will have the opportunity to work in an explicitly multidisciplinary setting and interact with cognitive and behavioral neuroscientists in the Center and Department whose research spans human, animal, and computational models. Ideal candidates will have a strong program in one or more of the following areas: object recognition, attention, memory, language, cognitive control.

 


Applicants Ph.D. in Neuroscience, Experimental Psychology, or a related discipline, an excellent record of research productivity, the potential to develop an independent and internationally recognized research program, and strong commitment to undergraduate and graduate education. Active grant funding and/or a successful history of grant support are desirable. An approach that combines experimental (e.g. EEG, ERPs, or TMS, and/or neuroimaging) and computational (e.g. network modeling, graph-theoretic analysis) components is desirable. 

 

Special Instructions to applicants:

This position is open until filled and may close without prior notice.

 

All applicants must apply electronically to the currently posted position on the Office of Human Resources' job website (https://jobs.fau.edu) by completing the Faculty, Administrative, Managerial & Professional Position Application and submitting the related documents.

 

The site permits the attachment of required/requested documentation. In addition to completing the online application, please upload the following: a cover letter, curriculum vitae, copies of official transcripts scanned into an electronic format, statement of research interests and teaching philosophy, sample publications, and letters from three references.

 

Confidential letters may be sent by email to the Search Committee Chair at bressler@fau.edu. All other application materials must be submitted electronically at https://jobs.fau.edu.

 

Degrees from outside the United States must be validated by an organization belonging to the National Association of Credential Evaluation Service (NACES), with an indication of the documents the evaluation was prepared from (official transcripts, diplomas, dissertation abstracts). The evaluation should be scanned and electronically attached to one's application as with other US-based transcripts. 

 

Prior to appointment, the candidate must submit official, sealed transcripts from all institutions where graduate coursework was attempted, whether or not a degree was obtained, as well as an original NACES evaluation, if applicable. Transcripts must be issued to Florida Atlantic University not to you as the student.

 

A background check will be required for the candidate selected for this position. This position is subject to funding.

 

Individuals with disabilities requiring accommodation, please call 561-297-3057.

[Comp-neuro] Call for Papers-- Neural Computation for Rehabilitation

Neural Computation for Rehabilitation
Call for Papers

With the rapid growth of ageing population, rehabilitation for neurological disorders, for example, stroke, Alzheimer's, and Parkinson's diseases, is one of the grand challenges faced for the coming years. Knowledge and new technologies are needed for effective rehabilitation with the attempt to release the increasing demands for long-term medical treatments and healthcare, as well as to help the patients regain or maintain independency in their daily living. Successful rehabilitation depends on the understanding of the pathological mechanisms, effective methods in the treatment, and accurate evaluation on the recovery progress. Advances in neural computation provide solutions to brain modeling, quantitative neural information processing, and neural imaging. The related new findings also inspire new techniques for diagnosis, rehabilitation treatments, and development of novel training devices.

We invite authors to submit original research and review articles that explore mechanisms and/or technologies of neural computation applied in rehabilitation. Potential topics include, but are not limited to:

• Computational neuroscience and its clinical applications
• Learning paradigms and algorithms in rehabilitation systems
• Brain machine interfaces
• Robotic systems for rehabilitation
• Data mining and information processing for neural data
• Quantitative evaluations on rehabilitation effectiveness
• Neural imaging for rehabilitation
Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/bmri/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System athttp://mts.hindawi.com/submit/journals/bmri/rehabilitation/ncr/ according to the following timetable:

Manuscript Due Friday, 28 March 2014
First Round of Reviews Friday, 20 June 2014
Publication Date Friday, 15 August 2014
Lead Guest Editor

• Xiaoling Hu, The Hong Kong Polytechnic University, Hong Kong
Guest Editors

• Yiwen Wang, Zhejiang University, Zhejiang, China
• Ting Zhao, Howard Hughes Medical Institute, Janelia Farm Research Campus, Ashburn, VA, USA
• Aysegul Gunduz, University of Florida, Gainesville, FL, USA





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[Comp-neuro] PhD positions in Computational Neuroscience and Statistical Analysis of Neural Data at UConn

The (new!) Statistical Neuroscience Lab at the University of
Connecticut is recruiting PhD students to start Fall 2014. Candidates
will be working in close collaboration with experimental collaborators
to develop methods for modeling neural dynamics, interactions, and
plasticity from large-scale spike train data.

Qualifications: Our work is highly interdisciplinary, and applicants
must have strong quantitative skills. Previous experience with
neuroscience is helpful but not necessary. Candidates with backgrounds
in physics, statistics, computer science, engineering, and related
areas are welcome to apply.

Applying: Interested students should apply through the UConn
Psychology (http://psychology.uconn.edu/academics/graduate/graduate_program.html)
or Biomedical Engineering
(http://www.bme.uconn.edu/graduate-program/application-procedure) PhD
programs. Deadlines are Jan 1 for Psychology and Jan 31 for BME.

Contact ian.stevenson@uconn.edu for more information

Thanks,
Ian Stevenson
stevenson.lab.uconn.edu
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[Comp-neuro] Job Opening: Associate Professor (or Assistant Professor) in Neuroscience

ASSOCIATE PROFESSOR OR ASSISTANT PROFESSOR

NEUROSCIENCE - SCHOOL OF BIOMEDICAL SCIENCES

ROWAN UNIVERSITY

 

The School of Biomedical Sciences at Rowan University invites applications for a tenure-track Assistant or Associate Professor position in the area of Neuroscience starting Sept 1, 2014.  The successful candidate is expected to have a strong record of research geared towards biomedically relevant topics and be able to successfully compete for external funding. There is an expectation for leadership opportunities associated with this position. We seek outstanding candidates who will be able to contribute to the development of new interdisciplinary curricula and research initiatives in the School of Biomedical Sciences. Successful candidate will teach courses in their area of expertise in the School of Biomedical sciences and pursue a research program involving graduate/undergraduate students. The individual will actively participate in the development and implementation of degree programs in Translational Biomedical Sciences. 

Salary: Competitive

General Information:

The recently established School of Biomedical Sciences is a multidisciplinary home for new biomedical initiatives and currently consists of one program, the BS in Translational Biomedical Sciences that will admit its first class of undergraduate students in fall 2014. The program is delivered by several faculty members with joint appointments in departments within the College of Science and Mathematics.  It also provides opportunities to collaborate with both the allopathic and osteopathic medical schools at Rowan University.

The deadline date is December 1st, 2013.

The application must be submitted through our online application system, URL link,http://rowanuniversity.hodesiq.com/job-details.aspx?jobid=3974550 as a single pdf file containing curriculum vitae, a detailed description of research plans, a statement of teaching philosophy, and graduate transcripts (copies acceptable). Three letters of recommendation should be sent via email directly by references to sbs@rowan.edu.

All positions are contingent upon budget appropriations. Rowan University values diversity and is committed to equal opportunity in employment.


Requirements:

A Ph.D. in neuroscience or closely related field is required. Successful candidates are expected to have a strong record of research geared towards biomedically relevant topics and be able to successfully compete for external funding.