[visionlist] PhD Position Offered

PhD studentship in visual attention and emotion at Swansea University.

Applications are invited for a three-year fully funded PhD studentship working with Dr. Stephen Johnston at Swansea University on a project investigating the interaction of emotion and attention. The PhD research is funded by the Ministry of Defence – Defence Science and Technology Laboratory (DSTL), and aims to use eye tracking techniques to investigate the way that consciously and non-consciously perceived threatening visual stimuli are processed under conditions of physiological stress. The PhD will, in the first instance involve eye tracking, and behavioural experiments, although there is scope to undertake both neuroimaging, spectroscopy and EEG experiments as part of the PhD, through connections to the Swansea Inter-disciplinary Neuroimaging Group http://psy.swan.ac.uk/SING/Web. For more information about the funder (MoD, DSTL) visit: https://www.dstl.gov.uk

The PhD start date would be October 2013. Applicants should have a UK/EU nationality and a first-class degree or Masters degree in a relevant discipline (e.g. Psychology, Neuroscience). Additionally, students from a technical, non-psychology background will be considered, providing evidence of interest in vision science . The PhD work would require good programming skills (e.g. in Matlab or Python) as well as strong written and verbal communication skills.

For more information or to apply e-mail Stephen Johnston s.j.johnston@swansea.ac.uk attaching a CV and a supplementary personal statement explaining why they wish to apply for this studentship. The CV must state the degree class achieved and any relevant research assistant experience. The CV should also include the name and contacts for two academic references that may be approached at the interview stage.

The closing date for applications is July 7, 2013. 

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[visionlist] postdoc in infant attention and learning at MRC CBU, Cambridge

Hi please see below, and please forward on to anybody who might be interested… 

MRC Cognition and Brain Sciences Unit – Cambridge

Postdoctoral Scientist

The MRC Cognition and Brain Sciences Unit (CBSU) is an internationally renowned research institute with state-of-the-art cognitive neuroscience facilities.

Applicants are invited for a Postdoctoral Scientist to join a longitudinal study that uses targeted cognitive training to examine the relationship between executive functions, autonomic arousal and learning. The post holder will design experimental presentation
and data analysis scripts. The main focus of this post will be conducting microdynamic interaction analyses.  The post is envisaged to run from October 2013 to September 2014. 

You will have, or be in the final stages of obtaining, a PhD in psychology, neuroscience, medicine, computer science or a related discipline, with experience of scientific research involving human participants and knowledge of programming (especially Matlab)
or high-level mathematics.  Some experience of working with infants or children and experience of signal or image processing is desirable.

The starting salary will be in the range of £26,282 – £28,083 per annum, depending upon qualifications and experience. We offer a flexible pay and reward policy, 30 days annual leave entitlement, and an optional MRC final salary Pension Scheme. On site
car and bicycle parking is available.

For informal enquiries, contact Sam Wass by email: sam.wass@mrc-cbu.cam.ac.uk. 

Applications are handled by the RCUK Shared Services Centre; to apply please visit our job board at http://www.topcareer.jobs/ and complete an online application form.  Applicants who would like to receive this
advert in an alternative format (e.g. large print, Braille, audio or hard copy), or who are unable to apply online should contact us by telephone on 01793 867003. Please quote reference number IRC99094.

Closing date: 19th July 2013

This position is subject to pre-employment screening

The Medical Research Council is an Equal Opportunities Employer

— 


[visionlist] PhD position on brain bases of observational learning

Dear Colleagues,

I am currently looking for a talented student to join the Social Brain in Action Laboratory (SoBA Lab) at Bangor University to study the brain and behavioural bases of observational learning. The successful candidate will have the opportunity to combine advanced fMRI approaches with behavioural training paradigms to study how we learn by watching others as adolescents, young adults, and older adults.  This PhD studentship is fully funded for an outstanding candidate from any country. The closing date for applications is Friday, 19 July 2013.

Information about the project and the SoBA Lab may be found here: http://www.soba-lab.com/vacancies_esc.html

Full details about how to apply for the post are here:  http://www.bangor.ac.uk/psychology/postgraduate/cross.php.en

I would greatly appreciate it if you could pass this e-mail along to any suitable candidates.

many thanks,

Emily

———

Dr. Emily S. Cross

Senior LecturerSocial Brain in Action LaboratorySchool of Psychology, Bangor UniversityBangor, GwyneddLL57 2ASNorth Wales+44 1248 38 3274e.cross@bangor.ac.ukhttp://www.soba-lab.com/

— 

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[visionlist] Postdoc and PHD position, UCL (Belgium), ssVEP of objects and people interaction

A
postdoctoral position (2 years) and a PhD position are available at the University
of Louvain (Belgium, http://www.uclouvain.be/en-universite.html) for a collaborative research
project between

 The Spring lab

(PI:
Dana Samson : https://sites.google.com/site/thespringlab/)

 The face categorization lab

(PI:
Bruno Rossion : http://face-categorization-lab.webnode.com//).

 The project
concerns the perception and representation of social and nonsocial interactions
between objects and people (faces and bodies). Behavioral methods and
recordings of eye movements will be used but the main method will be the
recording of steady-state visual evoked potentials (SSVEP) in humans, and the
EEG frequency-tagging approach in particular, where multiple visual stimuli
(objects and people) can be presented concurrently. Both the postdoc and PhD
students will work in designing and running SSVEP experiments on objects,
bodies and faces, with an approach developed recently for face perception (e.g.,
http://www.journalofvision.org/content/11/2/16.full.pdf).

 Candidates
should have a master degree or a PhD in experimental, cognitive, biological or
mathematical psychology, or in a related field (e.g., neuroscience, biomedical
science, computer science, physics, mathematics). Training in vision and EEG
research is important, especially for the postdoc position. MatLab programming
skills are necessary for the postdoc and an asset for the PhD student.

The
candidates will work in international laboratories that have multiple
methods available (EEG, fMRI, TMS, eyetracker, brain-damaged patients,
developmental populations)
and a wide range of international collaborations.

 The
appointment is for 2 years for the postdoc, with a start in october 2013 (flexible, within a few
months). The appointment is for 3 years (+1) for the PhD student.

 Applications
should be sent by email to both Dana Samson (dana.samson@uclouvain.be)
and Bruno Rossion (bruno.rossion@uclouvain.be) and should include a CV, a brief
statement of research interests, the expected date of availability and the
names of 3 references. Applications should be sent immediately and applications
will be considered until the positions are filled.

 Starting
salary should be in the range of 2200 euros (postdoc) and 1600 euros (PhD
student) per month, net income.

 


[Imageworld] CFP – Journal of Real-Time Image Processing Special Issue on “Real-Time Computer Vision in Smart Cities’

         

Journal of Real-Time Image Processing


[Imageworld] PhD position in Computer Vision and Machine Learning

The Intelligent Systems Lab Amsterdam (ISLA) of the University of
Amsterdam offers a 4 year PhD position in the field of computer vision
and machine learning. The topic of the PhD is to recognize objects in
a visual data stream. In such a stream the object classes of interest
shift over time. Hence, the traditional approach to learn classifiers
for a predefined set of objects is unsuited. A promising approach in
classifying unseen objects into a novel category is to learn a
semantic attribute image representation. The aim for this PhD is to
develop new algorithms to learn such a high-level semantic
representation from weakly annotated images and to learn the mapping
to an unknown class from freely available (textual) sources. Another
project aim is to model the visual data stream to understand which
images or novel concepts could become a visual trend.

The position is within the Intelligent Systems Lab Amsterdam (ISLA)
and will be supervised by dr. Thomas Mensink and dr. Cees Snoek. The
position is part of a 5-year Personal VIDI Grant funded by the Dutch
Organization for Scientific Research. The successful candidate will
work in a stimulating environment of a leading and highly active
research team including one faculty member, a post-doc and six PhD
students. The team has repeatedly won the major visual search
competitions, including NIST TRECVID, PASCAL Visual Object Challenge,
ImageCLEF, and the ImageNet Large Scale Visual Recognition Challenge.

Requirements
– Master degree in Artificial Intelligence, Computer Science or related field;
– Excellent programming skills (the project is in Matlab, Python and C/C++);
– Solid mathematics foundations, especially statistics and linear algebra;
– Highly motivated;
– Fluent in English, both written and spoken;
– Proven experience with computer vision and/or machine learning is a big plus.

Additional Information
http://www.uva.nl/over-de-uva/werken-bij-de-uva/vacatures/item/13-205.html

Kind regards,

Thomas Mensink
thomas.mensink@uva.nl


[Imageworld] TPNC 2013: 3rd call for papers

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*************************************************************************
2nd INTERNATIONAL CONFERENCE ON THE THEORY AND PRACTICE OF NATURAL COMPUTING

TPNC 2013

Cáceres, Spain

December 3-5, 2013

Organized by:

Computer Architecture and Logic Design Group (ARCO)
University of Extremadura

Research Group on Mathematical Linguistics (GRLMC)
Rovira i Virgili University

http://grammars.grlmc.com/tpnc2013/
*********************************************************************

AIMS:

TPNC is a conference series intending to cover the wide spectrum of computational principles, models and techniques inspired by information processing in nature. TPNC 2013 will reserve significant room for young scholars at the beginning of their career. It aims at attracting contributions to nature-inspired models of computation, synthesizing nature by means of computation, nature-inspired materials, and information processing in nature.

VENUE:

TPNC 2013 will take place in Cáceres, in Western Spain, 300 kms. to the southwest of Madrid and 100 kms. to the Portuguese border. The old city is a UNESCO World Heritage site.

SCOPE:

Topics of either theoretical, experimental, or applied interest include, but are not limited to:

* Nature-inspired models of computation:

– amorphous computing
– cellular automata
– chaos and dynamical systems based computing
– evolutionary computing
– membrane computing
– neural computing
– optical computing
– swarm intelligence

* Synthesizing nature by means of computation:

– artificial chemistry
– artificial immune systems
– artificial life

* Nature-inspired materials:

– computing with DNA
– nanocomputing
– physarum computing
– quantum computing and quantum information
– reaction-diffusion computing

* Information processing in nature:

– developmental systems
– fractal geometry
– gene assembly in unicellular organisms
– rough/fuzzy computing in nature
– synthetic biology
– systems biology

* Applications of natural computing to: algorithms, bioinformatics, control, cryptography, design, economics, graphics, hardware, learning, logistics, optimization, pattern recognition, programming, robotics, telecommunications etc.

A flexible “theory to/from practice” approach would be the perfect focus for the expected contributions.

STRUCTURE:

TPNC 2013 will consist of:

‐ invited talks
‐ invited tutorials
‐ peer-reviewed contributions

INVITED SPEAKERS:

Risto Miikkulainen (Austin), Evolving Neural Networks (tutorial)
Yew-Soon Ong (Singapore), Advances in Memetic Computation
Xin Yao (Birmingham), Evolutionary Algorithm Portfolios for Numerical Optimisation

PROGRAMME COMMITTEE:

Selim G. Akl (Kingston, CA)
Thomas Bäck (Leiden, NL)
Peter J. Bentley (London, UK)
Hans-Georg Beyer (Dornbirn, AT)
Mauro Birattari (Brussels, BE)
Jinde Cao (Nanjing, CN)
Vladimir Cherkassky (Minneapolis, US)
Sung-Bae Cho (Seoul, KR)
John A. Clark (York, UK)
Carlos A. Coello Coello (Mexico DF, MX)
David W. Corne (Edinburgh, UK)
Peter Dayan (London, UK)
Bernard De Baets (Ghent, BE)
Andries P. Engelbrecht (Pretoria, ZA)
Enrique Herrera-Viedma (Granada, ES)
Yaochu Jin (Guildford, UK)
Nikola Kasabov (Auckland, NZ)
Vladik Kreinovich (El Paso, US)
Kwong-Sak Leung (Hong Kong, CN)
Xiaohui Liu (London, UK)
Manuel Lozano (Granada, ES)
Carlos Martín-Vide (Tarragona, ES, chair)
Julian F. Miller (York, UK)
Frank Neumann (Adelaide, AU)
Leandro Nunes de Castro (São Paulo, BR)
Nikhil R. Pal (Kolkata, IN)
Günther Palm (Ulm, DE)
José Carlos Príncipe (Gainesville, US)
Helge Ritter (Bielefeld, DE)
Conor Ryan (Limerick, IE)
Hava Siegelmann (Amherst, US)
Moshe Sipper (Beer-Sheva, IL)
Thomas Stützle (Brussels, BE)
Ponnuthurai N. Suganthan (Singapore, SG)
Johan Suykens (Leuven, BE)
Kay Chen Tan (Singapore, SG)
Dacheng Tao (Sydney, AU)
Jon Timmis (York, UK)
Marco Tomassini (Lausanne, CH)
Michael D. Vose (Knoxville, US)
Michael N. Vrahatis (Patras, GR)
Harald Weinfurter (Munich, DE)
Rolf Würtz (Bochum, DE)
Jun Zhang (Guangzhou, CN)

ORGANIZING COMMITTEE:

Adrian Horia Dediu (Tarragona)
Carlos Martín-Vide (Tarragona, co-chair)
Bianca Truthe (Magdeburg)
Miguel A. Vega-Rodríguez (Cáceres, co-chair)
Florentina Lilica Voicu (Tarragona)

LOCAL COMMITTEE:

Víctor Berrocal-Plaza
José M. Chaves-González
Juan A. Gómez-Pulido
David L. González-Álvarez
José M. Granado-Criado
Alejandro Hidalgo-Paniagua
José M. Lanza-Gutiérrez
Álvaro Rubio-Largo
Sergio Santander-Jiménez
Miguel A. Vega-Rodríguez (chair)

SUBMISSIONS:

Authors are invited to submit non-anonymized papers in English presenting original and unpublished research. Papers should not exceed 12 single-spaced pages (including eventual appendices) and should be formatted according to the standards of the Springer Verlag’s LNCS series (see http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0).

Submissions have to be uploaded to:

https://www.easychair.org/conferences/?conf=tpnc2013

PUBLICATIONS:

A volume of proceedings published by Springer in the LNCS series will be available by the time of the conference.

A special issue of the journal Soft Computing (Springer, 2011 impact factor: 1.880) will be later published containing peer-reviewed extended versions of some of the papers contributed to the conference. Submissions to it will be by invitation.

REGISTRATION:

The period for registration is open from April 17 to December 3, 2013. The registration form can be found at:

http://grammars.grlmc.com/tpnc2013/Registration

DEADLINES:

Paper submission: July 16, 2013 (23:59h, CET)
Notification of paper acceptance or rejection: August 27, 2013
Final version of the paper for the LNCS proceedings: September 3, 2013
Early registration: September 10, 2013
Late registration: November 19, 2013
Starting of the conference: December 3, 2013
End of the conference: December 5, 2013
Submission to the post-conference special issue: March 5, 2014

QUESTIONS AND FURTHER INFORMATION:

florentinalilica.voicu@urv.cat

POSTAL ADDRESS:

TPNC 2013
Research Group on Mathematical Linguistics (GRLMC)
Rovira i Virgili University
Av. Catalunya, 35
43002 Tarragona, Spain
Phone: +34-977-559543
Fax: +34-977-558386

ACKNOWLEDGEMENTS:

Departament d’Economia i Coneixement, Generalitat de Catalunya
Universidad de Extremadura
Universitat Rovira i Virgili