postdoctoral position in computational neuroscience to study sleep oscillations

Applications are invited for an NIH-funded post-doctoral position to study mechanisms and functions of sleep oscillations. The successful candidate will join a research team involving the laboratories of Eric Halgren (UCSD), Terry Sejnowski (UCSD) and Maxim Bazhenov (UC Riverside).  For relevant references see, Chen et al, Journal of Physiology (London), 2012, Jul 9; Bonjean et al, Journal of Neuroscience, 2012, 32(15):5250-63. The ultimate goal of this work is to understand mechanisms and functions of sleep rhythms during stage 2 sleep and the role of sleep oscillations in memory and learning.

The successful candidate will be responsible for the design of a thalamocortical model generating sleep rhythms based on existing experimental data. These models will be used to understand underlying neural mechanisms, as well as guide data analysis and produce novel experimental predictions. Qualified applicants are expected to have experience in computational/theoretical neuroscience and conductance-based neural modeling. Programming experience with C/C++ is required. Knowledge of PYTHON or MATLAB is a plus.

The University of California offers excellent benefits. Salary is based on research experience. The initial appointment is for 1 year with a possibility of extension. Applicants should send a brief statement of research interests, a CV and the names of three references to Maxim Bazhenov at maksim.bazhenov@ucr.edu

-- 
Maxim Bazhenov, Ph.D.
Professor, Cell Biology and Neuroscience
University of California
Riverside, CA 92521
Ph: 951-827-4370
http://biocluster.ucr.edu/~mbazhenov/

Five PostDoc Positions in Glasgow

Research Associate (5 posts available)

University of Glasgow - Institute of Neuroscience and Psychology

You will contribute to Wellcome Trust funded research entitled "Natural and modulated neural communication: State-dependent decoding and driving of human Brain Oscillations" (Joint Investigators: Gregor Thut, Joachim Gross). This is one of 5 simultaneously filled 5-year Research Associate positions covering different aspects of the above project.

The job requires working in an interdisciplinary team of researchers on longstanding questions of how brain oscillations orchestrate brain functions, or relate to brain dysfunction. Depending on the position within the team, this will involve the development and/or application of new analysis methods to eavesdrop on brain communication and decode some of the information coded in brain oscillations (MEG/EEG), or using this knowledge for controlled intervention into brain oscillations by transcranial stimulation to modulate brain function (combined TMS/tACS-EEG).

For more information on the position and environment please write to Joachim.Gross@glasgow.ac.uk,  or Gregor.Thut@glasgow.ac.uk 

This post has funding available until 31 December 2017

Ref: 002653

Please apply here:  http://www.gla.ac.uk/about/jobs/

Salary: Grade 7, £31,948 - £35,938 per annum

Closing date: 15 October 2012

3 Postdoc Positions available

UNIVERSITY OF SHEFFIELD
AND
UNIVERSITY OF SUSSEX

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Sheffield Refs: UOS005250, UOS005253
Sussex Ref: 816

Three postdoctoral positions are available at the Universities of
Sheffield (two posts) and Sussex (one post) as part of the EPSRC funded,
‘Green Brain’ project. This exciting new project will develop
computational neuroscience models of learning and decision-making in the
honeybee brain, and controllers based on these to run on an NVIDIA GPU
supercomputer controlling a flying robot in real time. Invertebrate
neuroscientists are continuing to demonstrate that despite their small
sized brains, insects, such as honeybees, have comparable cognitive
sophistication to those of larger-brained animals, including
vertebrates. Honeybees, in particular, have been demonstrated to be able
to manage speed-accuracy trade-offs in decision-making, exhibit positive
and negative-reinforcement learning, and transfer concepts such as
'sameness' and 'difference' across sensory modalities. This project is
intended to advance our understanding of the invertebrate brain by
computational neuroscience modelling, with the ultimate long-term goal
of achieving a complete brain model of an animal such as the honeybee.
To achieve this goal, modern GPU super-computing will be used to build
detailed models of brain function that can run in real time and can
interface with a flying robot to study its behaviour in an embodied
context. The work will be carried out in close collaboration with
honeybee experts in Toulouse. It is expected that the long-term goal of
a full brain model will not only represent a significant basic research
achievement, but also lead to breakthroughs in artificial intelligence,
control of autonomous agents and computational insights into cognitive
mechanisms in higher animals

The postdoctoral positions of the research associates on this project
are as follows:

1. Computational neuroscientist (Sussex): Your primary responsibilities
will be to further develop models of the honeybee olfactory system and
learning pathways, develop GPU modelling tools, and integrate your work
with the other research associates.

2. Computational neuroscientist (Sheffield): Your primary
responsibilities will be to model the honeybee optic tubercle and visual
learning pathways, to investigate multi-modal integration and learning,
and to integrate your work with the other research associates

3. Roboticist (Sheffield): Your primary responsibility will be to
develop and maintain the GPU-supercomputer-controlled flying robot, and
integrate the work of the other research associates into the platform

Successful candidates must hold a PhD or equivalent degree in a
quantitative science discipline. All posts require a keen interest in
computational neuroscience and the basis of learning and behaviour in
animals. We are looking for candidates with a strong mathematical,
computational and computational neuroscience background (posts 1 and 2)
and keen interest in robotics (post 3). Knowledge of the insect
olfactory system (post 1), visual system (post 2) and robotic
controllers (post 3) is desirable, but is not a requirement. All
positions require good programming skills and experience with GPU
computing would be a big plus. The positions will involve travel between
Sheffield and Sussex and occasionally to the collaborating experimental
bee researchers in Toulouse.

For informal inquiries about the positions, please contact Dr. James
Marshall, James.Marshall@shef.ac.uk or Dr. Thomas Nowotny,
t.nowotny@sussex.ac.uk.
Candidates interested in applying for the University of Sussex job
please apply through www.sussex.ac.uk/jobs. Candidates interested in the
posts at University of Sheffield please apply through
http://www.shef.ac.uk/jobs. If candidates are interested in several
posts please apply on both sites.

Please provide a CV with publication list, a brief (1 page) statement of
why you are interested in the position and about your future career
plans with your application form.

Salary range: starting at £30,122 and rising to £37,012 per annum,
according to experience

Expected start date: 1 December 2012

Closing date for applications: 17/14 October 2012

Interviews are anticipated for: 1 November 2012

For full details and how to apply see
www.shef.ac.uk/jobs
www.sussex.ac.uk/jobs

The Universities of Sheffield and of Sussex are committed to equality of
opportunity.

Postdoc position in psychophysics and modeling

Department of Neuroscience

Baylor College of Medicine, Houston TX

Postdoc in human psychophysics and mathematical modeling

Applications are invited for a postdoctoral position (minimum 2 years) in the laboratory of Dr. Wei Ji Ma (http://neuro.bcm.edu/malab) in the Department of Neuroscience at Baylor College of Medicine, Houston, Texas.

The long-range goal of our lab is to understand decision-making under uncertainty. Our methods include human psychophysics, mathematical modeling of behavior, and theoretical neuroscience. Recent publications have been in the areas of visual perception, visual short-term memory, visual attention, and multisensory perception.

Applicants should have a Ph.D. and experience in both psychophysics and modeling/theory. Good analytical and programming skills are required. Expertise in machine learning is an advantage.

To apply, please send CV, statement of interest, and the names and contact information of two references to Wei Ji Ma at wjma@bcm.edu. Consideration of applications will begin immediately, and will end when the position is filled. Salary is competitive and will be commensurate with experience and qualifications. Baylor College of Medicine is an Equal-Opportunity, Affirmative-Action and Equal-Access Employer.

--

Wei Ji Ma, Ph.D.

Assistant Professor

Department of Neuroscience

Baylor College of Medicine

Houston, TX 77030, USA

+1 713 798 8407

http://neuro.bcm.edu/malab

Faculty Position at the University of Southern California

COMPUTATIONAL MODELING OF LANGUAGE BEHAVIOR FROM COGNITIVE / NEURAL PERSPECTIVES

The University of Southern California, Dana and David Dornsife College of Letters, Arts and Sciences, in Los Angeles, California, invites applications for a position as Assistant or Associate Professor in the Departments of Psychology and/or Linguistics to start Fall 2013. We seek candidates engaged in novel research in the computational modeling of language behavior. Areas of interest include, but are not limited to, the modeling of language acquisition, comprehension, development, evolution, processing, production and variation. The research may be from neural or cognitive perspectives and with a strong link to empirical investigations. For an appointment at the level of Assistant Professor (tenure track), the appointment will be made in either the Department of Linguistics or the Department of Psychology. For an appointment at the level of Associate Professor (with tenure), a joint appointment between the two Departments is possible.

USC offers many opportunities for collaboration across these and other units of the university. Resources include the Dana and David Dornsife Cognitive Neuroscience Imaging Center, the Brain and Creativity Institute, the High-Performance Computing and Communications supercomputing cluster, and a broad interdisciplinary Neuroscience community, including a program in Hearing and Communication Neuroscience, composed of more than 70 faculty members in the basic, engineering, and clinical sciences. USC strongly values diversity and is committed to equal opportunity in employment. Women and men, and members of all racial and ethnic groups are encouraged to apply.

All applicants should have a Ph.D. at the time of appointment and should provide a CV, a research statement, a teaching statement, representative scholarly papers, and three letters of reference via email to Mr. Stephen Stephenson at psyling@dornsife.usc.edu. Screening of applicants will begin October 15, 2012. In order to be considered for this position, applicants are also required to submit an electronic USC application; follow this job link or paste in a browser: https://jobs.usc.edu/applicants/Central?quickFind=66228 .

PARMENIDES FELLOWSHIPS IN THEORETICAL BIOLOGY

PARMENIDES FELLOWSHIPS IN THEORETICAL BIOLOGY - CALL FOR APPLICATIONS

Two thematic Parmenides fellowships are open in the Parmenides Center for
the Conceptual Foundations of Science (Münich, Germany) under the
supervision of Prof. Eörs Szathmáry.

Successful candidates will carry out their own research agenda in the
fields described below. The positions are for a minimum of 1 year to a
maximum of 3 years. Successful applicants will receive a stipend of 2500
EUR per month (net).The proposed projects can start as soon as a suitable
candidate is identified, but not later than the 15th October, 2012.

Origin of life: Theory of the emergence and development of the RNA world.
The major evolutionary transitions, of which at least the first 3 is bound
to this period in the evolution of life on Earth, should be in the focus of
the proposed research project.

Replicator evolution in the brain: Population biology of replicators as
proposed in Darwinian neurodynamics, with special emphasis on the
application to Fluid Construction Grammar.

We seek applicants with an interest in theoretical evolutionary biology
and experience in using a range of computational, bioinformatic and
mathematical techniques to answer evolutionary questions. Furthermore,
candidates should have a few years of postdoctoral experience, a track
record in publishing in international scholarly journals and fluency
in English.

Candidates interested in either of the positions should submit an
application consisting of a CV with full list of publications, a motivation
letter (1 page) and a detailed workplan (max 5 pages).
The deadline for applications is 14th, September, 2012. Applications should
be sent by email to Eörs Szathmáry, szathmary.eors@gmail.com.

szathmary.eors@gmail.com

Postdoc position in Math Neuroscience

Computational/Mathematical Neuroscience Postdoc

Bard Ermentrout (http://www.pitt.edu/~phase) in the Mathematics Department
at the University of Pittsburgh is seeking applicants for a three-year
postdoctoral research position. The project is concerned with (1) the
interactions between correlated inputs and spatio-temporal patterns ; (2)
the origin and analysis of spatio-temporal patterns in mean-field and
spiking models of neurons; (3) relationship between population
oscillations and their mean-field approximations.  The ability to do
simulations and some perturbation analysis is desirable and knowledge of
XPPAUT or Matlab is also a plus.  The salary is competitive and there are
full benefits.

Please contact Bard Ermentrout at bard@pitt.edu

Two-year postdoc vacancy at Uni. South Australia, in Computational Neuroscience

Dear colleagues,

The University of South Australia's Institute for Telecommunications Research (ITR) is now seeking applications for an open Postdoctoral Research Fellow position. 

There is a formal application process, which must be completed online at the following address: Research Fellow position .

The closing date is 5th October 2012. See also http://www.unisa.edu.au/About-UniSA/Working-at-UniSA/Vacancies/ regarding employment at UniSA.

The Research Fellow will conduct theoretical research aimed at understanding the neurobiological communication and information storage mechanisms that exist within mammalian brains. The approach will be to combine mathematical modelling with computational simulations. The project is aligned with an Australian Research Council funded Discovery Grant, and is in collaboration with University of British Columbia, Canada.

The position is for two years full time, as follows:

-Salary range: AU$79,145 - AU$93,986 pa 

-Total remuneration range approximately: AU$87K - AU$103K pa; This includes salary, employer super contributions of 9% salary and annual leave loading.

It is essential that applicants possess (or are soon to submit) a doctorate (or equivalent research experience) in the area of computational and theoretical neuroscience, or closely related areas including electronic engineering, mathematical/statistical physics, applied mathematics, biophysics, biomedical engineering and mathematical biology.

The successful application will also be able to demonstrate expert mathematical knowledge in at least one of the following four areas: nonlinear dynamics; information theory; numerical methods; signal processing. 

For the full position description and selection criteria, please see http://workingatunisa.nga.net.au/publicfiles/workingatunisa/jobs/4ECDA9D1-7F17-A77C-B5C5-6DE4BAD453CF/Research Fellow Computational Neuroscience3.pdf

The successful applicant will be a member of ITR’s highly interdisciplinary Computational and Theoretical Neuroscience Laboratory, working with Principle Investigator, Dr Mark McDonnell. The Lab has excellent computational facilities, provides a stimulating interdisciplinary research environment and interacts with many international research collaborators.
For more information about the Lab please see: www.itr.unisa.edu.au/CTNL/ 

Please contact Dr Mark McDonnell for questions about the position. Please contact itrhr@unisa.edu.au for questions about the application form.

Regards

Dr Mark D. McDonnell

Senior Research Fellow

Principal Investigator
Computational and Theoretical Neuroscience Laboratory
http://www.itr.unisa.edu.au/research/ctnl/

Institute for Telecommunications Research
University of South Australia
Building W, Mawson Lakes Campus
Mawson Lakes SA 5095 AUSTRALIA

Phone:  +61 8 8302 3341
Fax:  +61 8 8302 3817

URL: http://people.unisa.edu.au/Mark.McDonnell
Email: mark.mcdonnell@unisa.edu.au

two postdoc positions available

Hi everyone,

We have two postdoc positions available in our laboratory at the
UNIC, related to theoretical and experimental study of magnetic
fields generated by neurons.  This is supported by a European
project called "Magnetrodes" and which consists of conceiving,
testing and modeling new microdevices (magnetrodes) to record
magnetic fields directly from neural tissue, and in some cases in
close proximity to neurons.  The device will be fabricated by a
laboratory in Saclay (Myriam Pannetier) and in Lisbon (Susana
Cardoso), and will be tested at the UNIC in vitro (cortical slices;
Thierry Bal) using patch-clamp experiments.  At the UNIC, we will
also model the results of the experiments (Alain Destexhe) to
obtain a characterization of the magnetic "generator" by neurons.
We will also study possible extensions to modeling the
magneto-encephalogram (MEG) signals.  Other partners of the project
are Pascal Fries (Frankfurt; in vivo testing) and Lauri Parkkonen
(Aalto, MEG).

We are looking for two postdocs (2 year contracts with possible
extension), one will be primarily involved in patch-clamp
experiments, and the other one will be involved in the modeling of
neuronal electromagnetic fields.  These two postdocs will interact
closely, and we will encourage candidates willing to participate to
both experiments and modeling.  One candidate should ideally be
physicist with strong background in electromagnetism theory, and
the other candidate should ideally be trained in electrophysiogy.

The Unité de Neuroscience, Information et Complexité (UNIC) is a
CNRS research unit (UPR 3293, Dir. Y. Frégnac) comprising 6
different laboratories, mixing experimental and theoretical
neuroscience.  The UNIC is part of the Alfred Fessard Neurobiology
Institute (INAF; Dir. P. Vernier), located in the CNRS campus of
Gif sur Yvette.  The CNRS Campus comprises about 2000 researchers
focusing on neuroscience, molecular biology, genetics and plant
biology, and is affiliated with several universities and
engineering schools in the Paris Region (Ecole Polytechnique,
Sup-Elec, Pierre & Marie Curie University Paris, University of
Orsay, Ecole Normale Superieure Paris).

Please contact

  Alain Destexhe  (destexhe at unic.cnrs-gif.fr)
  or
  Thierry Bal     (bal at unic.cnrs-gif.fr)

  Unité de Neuroscience, Information et Complexité (UNIC),
  UPR 3293, CNRS,
  1 Avenue de la Terrasse (BAT 33),
  91198 Gif-sur-Yvette, France

  Tel: 33-1-69-82-34-35
  Fax: 33-1-69-82-34-27
  URL: http://cns.iaf.cnrs-gif.fr

Postdoctoral position at University of Manchester, Faculty of Life Sciences

A 4 year postdoctoral researcher position is available now in the lab
of Dr Mark Humphries in the Faculty of Life Science, University of
Manchester

The researcher will join a newly established lab group that tackles
the challenging problems of how to make sense of the deluge of
circuit-wide neural activity data, from cortical cell assemblies to
invertebrate central pattern generators. They will develop
cutting-edge analysis and data-mining techniques for multi-neuron
recording and apply those techniques to analyse and interpret
experimental data from collaborators across Europe and the USA. [For
background on the methodology see: Humphries (2011) Spike-train
communities: finding groups of similar spike-trains. J Neurosci, 31,
2321-2336]

The ideal candidate will hold a PhD in a related discipline (e.g.
mathematics, physics, engineering, computer science, or computational
neuroscience), have good programming skills and experience in either
neurophysiological data analysis or network theory.

For more details and to apply please visit:
https://www.jobs.manchester.ac.uk/DisplayJob.aspx?pageno=0&htmlpage=JobDisplay&Jobid=19642&txtKeywords=neuro&chkCategory=962&lstRegion=&chkSalary=&chksubject=&optMatch=Any&clientid=73&AttachedSAF=0

Informal enquiries: m.d.humphries@sheffield.ac.uk

The closing date is September 28th 2012, 16:00 (UK time)

Postdoctoral position at University of Manchester, Faculty of Life Sciences

A 4 year postdoctoral researcher position is available now in the lab
of Dr Mark Humphries in the Faculty of Life Science, University of
Manchester

The researcher will join a newly established lab group that tackles
the challenging problems of how to make sense of the deluge of
circuit-wide neural activity data, from cortical cell assemblies to
invertebrate central pattern generators. They will develop
cutting-edge analysis and data-mining techniques for multi-neuron
recording and apply those techniques to analyse and interpret
experimental data from collaborators across Europe and the USA. [For
background on the methodology see: Humphries (2011) Spike-train
communities: finding groups of similar spike-trains. J Neurosci, 31,
2321-2336]

The ideal candidate will hold a PhD in a related discipline (e.g.
mathematics, physics, engineering, computer science, or computational
neuroscience), have good programming skills and experience in either
neurophysiological data analysis or network theory.

For more details and to apply please visit:
https://www.jobs.manchester.ac.uk/DisplayJob.aspx?pageno=0&htmlpage=JobDisplay&Jobid=19642&txtKeywords=neuro&chkCategory=962&lstRegion=&chkSalary=&chksubject=&optMatch=Any&clientid=73&AttachedSAF=0

Informal enquiries: m.d.humphries@sheffield.ac.uk

The closing date is September 28th 2012, 16:00 (UK time)

Postdoctoral positions available in Group for Neural Theory, ENS Paris

THREE POSTDOCTORAL POSITIONS are available in Sophie Deneve’s team at the Group Neural Theory, Paris, France (see www.gnt.ens.fr).  The GNT is highly interactive and dynamic, is situated in central Paris, and is embedded within the strong Parisian theoretical neuroscience community. The ideal candidate should have a PhD with a quantitative background (ideally in fields such as machine learning and/or computational neuroscience).

We will investigate information coding and learning in spiking neural networks, combining theoretical approaches, simulations and analysis of neurophysiological datasets. Possible projects are described in more details below.  

Starting dates are flexible. The positions are for two years, with net salaries from 2500 to 2800 euro/month depending on prior experience. We will also provide generous travel funds. Possibilities exists to get subsidized housing (especially for families).   

Candidates should send a letter of motivation (2 pages max), the contact information of 2 to 3 referees and their CVs to sophie.deneve@ens.fr BEFORE OCTOBER 10, 2012. Interviews of short-listed candidates will be conducted in the fall either in Paris, at SFN in New Orleans or by video-conferences.

Description of projects:

Dealing with uncertainties is necessary for the survival of any living organism. Indeed, recent years have seen the growing application of probabilistic inference models to perception and action. Excitable neural structures face similar uncertainties: they receive noisy and ambiguous inputs and must accumulate evidence over time, combine unreliable cues and decide among alternative interpretations of the sensory input. Probabilistic model can thus be used to further our understanding not only of behavior, but also of the function and dynamics of biological neural networks.

Our working hypotheses are two-fold. First, we suppose that neural networks are tuned to estimate sensory or motor variables as reliably as possible. And second, firing dynamics insure self-consistency, i.e. these estimates can be extracted by postsynaptic integration of output spike trains. These two principles entirely constrain the structure, dynamics and plasticity of the corresponding spiking neural network. In particular, this purely functional approach captures many aspects of cortical dynamics and sensory responses (Boerlin and Deneve Plos Comp Bio 2011, Lochman, Ernst and Deneve J Neurosci 2012, Lochman and Deneve, Curr Opin Neurobiol. 2011).  

The projects will consist in

1. Developing and generalizing this framework to explore its implications for neural coding, dynamics and sensory representations                  

2. Designing new methods of data analysis able to extract a network’s function from multi-electrode neural recordings.

3. Applying this approach to neural datasets (multielectrode recordings – optical imaging data) from sensory and motor areas.  

PHD POSITION: COMPUTATIONAL NEURAL MECHANISMS OF THE NEURAL ENCODING OF ACTION SAMANTICS

PHD POSITION: COMPUTATIONAL NEURAL MECHANISMS
OF THE NEURAL ENCODING OF ACTION SAMANTICS (Hertie Institute /
Center for Integrative Neuroscience, Tuebingen, Germany)
==============================

===============================
Action perception and action execution are tightly linked in the
brain, and how these funcions are neurally encoded has
received a lot of interest in recent research in neuroscience.
The clarification of the underlying neural mechanisms
requires the tight interaction between theoretical and
experimental neuroscience.

Collaborating closely with physiologists from the
Department of Cognitive Neurology and M.I.T., we
investigate experimentally the neural encoding of actions during
perception and execution. We develop physiologically-inspired
neural and probabilistic models for the visual processing of actions
and its interaction with motor representations. Applying advanced
statistical Bayesian approaches, we investigate the semantic
structure of action representations based on neural data, and we
exploit advanced technologies for online animation in order to
investigate the dynamics of neural representations of
actions in premotor cortex.

We look for a theoretically oriented researcher with strong
interest in physiology and systems neuroscience.
Ideal candidates for this position should have:

* a Masters degree in Computer Science,
  Electrical Engineering, Physics, or Biology with
  good mathematical and reasonable programming skills
* Basic knowledge about neural networks or machine
  learning, or models of biological functions
* programming experience (Matlab, C++, or Python)
* a strong interest in theoretical and experimental
  neuroscience, and especially in higher-level
  vision, motor control, or cognition
* English speaking and writing skills.

Applications with inappropriate background (e.g. in
molecular or cell biology) will not be considered.

Committed to Equal Opportunities.

The Section of Computational Sensomotorics is working
on computational and neural models of action processing,
and technical applications related to action perception and
control. Our lab is part of the Dept. of Cognitive Neurology
at the Hertie Institute for Clinical Brain Research (HIH), a
leading European institution in Clinical Neuroscience.
It is also part of the Werner Reichardt Centre for Integrative
Neuroscience (CIN), an Excellence cluster from the German
Research organization with more than 70 groups working
on different aspects of systems neuroscience, and of the
Bernstein Center for Computational Neuroscience in Tübingen.

Please send applications preferentially electronically
(including CV, marks and 2 letters of reference)
as soon as possible to
Prof. Dr. Martin Giese, Hertie Institute
for Clinical Brain Research  & Centre for
Integrative Neuroscience, Otfried-Mueller-Str. 25,
72076 Tuebingen, Germany;
email: martin.giese@uni-tuebingen.de

Fellowshipsfor PHD: Neuroscience and Robotics

If you are interested in expanding your scientific background  and  join the multidisciplinary research group of the Robotics Brain and Cognitive Sciences Department  (RBCS) department at IIT apply to one of the PhD fellowships offered this year. 

Since the start of IIT in 2006 at RBCS (www.rbcs.iit.it), top-level neuroscience research and top-level robotics research is being merged to seek answers towards some of the long standing open problems in both fields while offering the possibility to publish in leading journals in life sciences, cognitive and neural sciences and robotic engineering.

By joining RBCS you will become part of a research team composed of neuroscientists, engineers, psychologists, physicists working together to investigate brain functions, realize intelligent machines and advanced rehabilitation devices. At RBCS you will be carrying out your own research in a stimulating environment while expanding your scientific background beyond your current expertize.

RBCS is also the home of the humanoid robot iCub in its dual role of stimulus for the study of human machine interaction and of tester of artificial cognitive architecture and developmental robotics.

Applications can be submitted electronically to the Doctoral Course on “Life and Humanoid Technologies” following a procedure described here (BEFORE SEPTEMBER 21^st):

http://www.iit.it/en/openings/phd-calls/1595-phd-school-in-life-and-humanoid-technologies.html

The research topics offered by RBCS this year can be selected from those listed in ANNEX-4 and grouped in five streams (from Theme 1.1 to 1.33):

1.      Manual and Postural Action (Themes 1.1 to 1.9)
2.      Perception during Action (Themes 1.10 to 1.20
3.      Interaction With and Between Humans (Themes 1.21 and 1.22)
4.      Interfacing with the Human Body (Themes 11.23 to 1.27)
5.      Sensorimotor Impairment, rehabilitation and Assistive Technologies (Themes 1.28 to 1.33)

Only the best 15 candidates and their proposed projects will be selected.

DEADLINE FOR APPLICATION IS SEPTEMBER 21^st

---

Prof. Giulio Sandini

Head: Robotics, Brain and Cognitive Sciences

Istituto Italiano di Tecnologia

Phone: +39 010 71781 416 - Fax: +39 010 7170817

http://www.rbcs.iit.it

Graduate student position

Prof. Sebastien Helie is looking for new graduate students interested in the Mathematical and Computational Cognitive Science (MCCS) program to join the Purdue Laboratory for Computational Cognitive Neuroscience in Fall 2013. The Purdue Laboratory for Computational Cognitive Neuroscience is affiliated with the Department of Psychological Sciences at Purdue University, which is consistently ranked among the top 50 in the US.  The Purdue Laboratory for Computational Cognitive Neuroscience uses different methodologies from cognitive psychology, neuroimaging, and computational modeling to study the relation between the brain and cognitive processing. The goal of the Purdue Laboratory for Computational Cognitive Neuroscience is to use empirical and computational methods to better understand categorization, automaticity, rule learning, sequence learning, skill acquisition, intuition in decision-making, and creative problem solving.

You can find more information about the Department of Psychological Sciences @ Purdue University here: http://www.purdue.edu/hhs/psy/

You can find more information about the Mathematical and Computational Cognitive Science (MCCS) program here: http://www.purdue.edu/hhs/psy/graduate/research_training_areas/mathematical/index.php

You can find more information about The Purdue Laboratory for Computational Cognitive Neuroscience program here: http://ccn.psych.purdue.edu/index.html

Interested students should contact Prof. Helie at shelie@purdue.edu.

------------------------------

-----
Sebastien Helie, Ph.D.
Assistant Professor
Department of Psychological Sciences
Purdue University
703 Third Street
West Lafayette, IN 47907-2081
--
Office: Peirce Hall, Room 359
Phone: (765) 496-2692
E-mail: shelie@purdue.edu
Website: http://ccn.psych.purdue.edu/
------------------------------------