Call For Papers: The International Journal of Advanced Computer Science

INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS
U.S ISSN : 2156-5570
www.ijacsa.thesai.org
_________________________________________________________________________________________________________

Call For Papers

The International Journal of Advanced Computer Science and Applications encourages submissions of papers addressing theoretical and practical implementations in information and systems applications. It also focuses on areas such as Artificial Intelligence, Networking, Multimedia Tools, Virtual Reality and Computational Intelligence to name a few.

IJACSA solicits papers in domains such as database security/privacy, usability aspects, operating systems, and Self Learning Capability algorithms, networking, Artificial Intelligence, Information Security etc.

Papers that introduce and address unique algorithms and application challenges or present thought-provoking ideas are welcome.

The editor believes that collectively, the journal editor, reviewers, and manuscript authors can contribute to the advancement of the journals by ensuring that the review process is among other things, comprehensive, constructive, courteous, developmental, fair, objective, and timely. Most reviewers are authors, researchers, or sometimes editors in their own right. Our review process allows these authors and editors an opportunity to use and develop their own expertise in a number of significant ways.

For any common queries like fee details, indexing information etc., you may read the FAQ’s on our website.

IMPORTANT DATES
Upcoming Issue – (Volume 4 No 2):
Paper Submission Due: 05 February 2013
Acceptance Notification: 15 February 2013
Publication Date: 01 March 2013

Upcoming Issue – (Volume 4 No 3):
Paper Submission Due: 01 March 2013
Acceptance Notification: 15 March 2013
Publication Date: 01 April 2013

(We accept submissions year-round.)

Call For Papers: http://ijacsa.thesai.org/
The topics in IJACSA include but are not confined to the following areas:
Edge Trends in IT
• Cloud Computing
• Internet technologies
• Artificial Intelligence
• Image Processing and analysis
• Protocols and Standards
• Ubiquitous Computing
• Virtual Reality
• Human Computer Interaction
• Geographic information systems
• Networking
• Quantum Computing
• Satellite and Optical Communication Systems
• 3G/4G Network Evolutions
• CDMA/GSM Communication Protocols
• Mobile Computing
• Open Spectrum Solutions
• Communication Protocols
• Sensor networks and social sensing
• Wireless applications
• Securing the Secure
• Biometrics
• Internet security
• Electronic Data Interchange (EDI)
• Web services and performance
• Secure transactions
• Cryptography
• Secure Protocols
• Cyber law
• Forensics
• Intelligent data management
• Intelligent Systems
• Content Development
• Data Mining
• Digital Libraries
• Information Search and Retrieval
• Knowledge Management
• e-Intelligence
• Knowledge networks
• E-learning
• Collaborative Learning
• Curriculum Content Design
• Delivery Systems and Environments
• Educational Systems Design
• e-Learning Organisational Issues
• Virtual Learning Environments
• Web-based Learning Communities
• e-Learning Tools
• e-Business
• Enterprise Resource Planning
• e-Business Models
• Digital Goods and Services
• e-Commerce Application Fields
• e-Commerce Economics
• e-Commerce Services
• Digital Marketing
• Web Analytics
Check out our Facebook Page!

Regards,
Editor
IJACSA
The Science and Information Organization(SAI)®
editorijacsa@thesai.org | www.ijacsa.thesai.org

Call for papers: 8th Workshop on Statistical Machine Translation (WMT13)

EIGHTH WORKSHOP ON STATISTICAL MACHINE TRANSLATION (co-located with ACL 2013, August 8-9, 2013, Sofia, Bulgaria) http://www.statmt.org/wmt13/

*** CALL FOR PAPERS ***

We invite the submission of scientific papers on topics related to MT.
Topics of interest include, but are not limited to:

* word-based, phrase-based, syntax-based SMT
* using comparable corpora for SMT
* incorporating linguistic information into SMT
* decoding
* system combination and selection
* error analysis
* manual and automatic method for evaluating MT
* quality estimation of MT
* scaling MT to very large data sets

SHARED TASKS

The workshop will feature three shared tasks:

* a translation task
* a task to test automatic evaluation metrics
* a translation quality estimation task

Separate emails will announce the details about the tasks.

PAPER SUBMISSION INFORMATION

Submissions will consist of regular full papers of 6-10 pages, plus additional pages for references, formatted following the ACL 2013 guidelines. In addition, shared task participants will be invited to submit short papers (4-6 pages) describing their systems or their evaluation metrics. Both submission and review processes will be handled electronically.

We encourage individuals who are submitting research papers to evaluate their approaches using the training resources provided by this workshop and past workshops, so that their experiments can be repeated by others using these publicly available corpora.

IMPORTANT DATES

Paper submissions:

Paper submission deadline: June 7, 2013
Notification of acceptance: June 24, 2013
Camera-ready deadline: July 5, 2013

Shared tasks:

Release of translation task training data: Early February 2013
Release of translation task test set: April 29, 2013
Submission deadline for translation task: May 3 2013
Release of quality estimation task training data: February 28 2013
Release of quality estimation task test data: May 25, 2013
Release of system outputs for metrics task: May 10, 2013
Submission deadline for metrics task and quality estimation task: May 31, 2013
Manual evaluation period: May 17, 2013 – June 7, 2013

Workshop in Sofia following ACL: August 8-9, 2013

ORGANIZERS

Ondrej Bojar (Charles University in Prague) Christian Buck (University of Edinburgh) Chris Callison-Burch (Johns Hopkins University) Barry Haddow (University of Edinburgh) Philipp Koehn (University of Edinburgh) Christof Monz (University of Amsterdam) Matt Post (Johns Hopkins University) Herve Saint-Amand (University of Edinburgh) Lucia Specia (University of Sheffield)

SIMBAD 2013: Deadline extension (and Special issue of IEEE TNNLS)

Due to several requests, the submission deadline for SIMBAD 2013 has been postponed to:

>>> FEBRUARY 15, 2013 <<< Please note that we're running a special issue of the IEEE Trans. on Neural Networks and Learning Systems on precisely the workshop's topics (submission deadline: October 2013), and we'll encourage the authors of the best workshop papers to submit. Best regards -mp ================================= CALL FOR PAPERS SIMBAD 2013 2nd International Workshop on Similarity-Based Pattern Analysis and Recognition July 3-5, 2013 York, UK http://www.dais.unive.it/~simbad MOTIVATIONS AND OBJECTIVES Traditional pattern recognition techniques are intimately linked to the notion of "feature space." Adopting this view, each object is described in terms of a vector of numerical attributes and is therefore mapped to a point in a Euclidean (geometric) vector space so that the distances between the points reflect the observed (dis)similarities between the respective objects. This kind of representation is attractive because geometric spaces offer powerful analytical as well as computational tools that are simply not available in other representations. However, the geometric approach suffers from a major intrinsic limitation, which concerns the representational power of vectorial, feature-based descriptions. In fact, there are numerous application domains where either it is not possible to find satisfactory features or they are inefficient for learning purposes. In the last few years, interest around purely similarity-based techniques has grown considerably. For example, within the supervised learning paradigm the well-established kernel-based methods shift the focus from the choice of an appropriate set of features to the choice of a suitable kernel, which is related to object similarities. However, this shift of focus is only partial, as the classical interpretation of the notion of a kernel is that it provides an implicit transformation of the feature space rather than a purely similarity-based representation. Similarly, in the unsupervised domain, there has been an increasing interest around pairwise or even multiway algorithms, such as spectral and graph-theoretic clustering methods, which avoid the use of features altogether. By departing from vector-space representations one is confronted with the challenging problem of dealing with (dis)similarities that do not necessarily possess the Euclidean behavior or not even obey the requirements of a metric. The lack of such properties undermines the very foundations of traditional pattern recognition theories and algorithms, and poses totally new theoretical/computational questions and challenges. The aim of this workshop, which follows the one held in Venice in 2011 (http://www.dais.unive.it/~simbad/2011/), is to consolidate research efforts in this area, and to provide an informal discussion forum for researchers and practitioners interested in this important yet diverse subject. We aim at covering a wide range of problems and perspectives, from supervised to unsupervised learning, from generative to discriminative models, and from theoretical issues to real-world applications. Original, unpublished papers dealing with these issues are solicited. Topics of interest include (but are not limited to): - Embedding and embeddability - Graph spectra and spectral geometry - Indefinite and structural kernels - Game-theoretic models of pattern recognition - Characterization of non-(geo)metric behavior - Foundational issues - Measures of (geo)metric violations - Learning and combining similarities - Multiple-instance learning - Applications PAPER SUBMISSION All papers (not exceeding 16 pages) must be submitted electronically at the conference website (http://www.dais.unive.it/~simbad/2013/). All submissions will be subject to a rigorous peer-review process. Accepted papers will appear in the workshop proceedings, which will be published in Springer's Lecture Notes in Computer Science (LNCS) series. In addition to regular, original contributions, we also solicit papers (in any LaTeX format, no page restriction) that have been recently published elsewhere. These papers will undergo the same review process as regular ones: if accepted, they will be presented at the workshop but will not be published in the workshop proceedings. Submission implies the willingness of at least one of the authors to register and present the paper, if accepted. INVITED SPEAKERS Avrim Blum, Carnegie Mellon University, USA Nello Cristianini, University of Bristol, UK Frank Nielsen, Sony Computer Science Laboratories Inc, Japan SPECIAL ISSUE OF IEEE TNNLS A special issue of the IEEE Transactions on Neural Networks and Learning Systems on precisely the workshop's topics is scheduled for 2014 (submission deadline: October 2013). Authors of the best workshop papers will be encouraged to submit an extended version of their contribution. IMPORTANT DATES Paper submission: February 15, 2013 Notifications: March 30, 2013 Camera-ready due: April 25, 2013 Workshop: July 3-5, 2013 ORGANIZATION Program Chairs Edwin Hancock, University of York, UK Marcello Pelillo, University of Venice, Italy Steering Committee Joachim Buhmann, ETH Zurich, Switzerland Robert Duin, Delft University of Technology, The Netherlands Mario Figueiredo, Technical University of Lisbon, Portugal Edwin Hancock, University of York, UK Vittorio Murino, Italian Institute of Technology, Italy Marcello Pelillo (chair), University of Venice, Italy Program Committee Maria-Florina Balcan, Georgia Institute of Technology, USA Manuele Bicego, University of Verona, Italy Avrim Blum, Carnegie Mellon University, USA Joachim Buhmann, ETH Zurich, Switzerland Terry Caelli, NICTA, Australia Tiberio Caetano, NICTA, Australia Umberto Castellani, University of Verona, Italy Luca Cazzanti, University of Washington, Seattle, USA Nello Cristianini, University of Bristol, UK Robert Duin, Delft University of Technology, The Netherlands Aykut Erdem, Hacettepe University, Ankara, Turkey Francisco Escolano, University of Alicante, Spain Mario Figueiredo, Technical University of Lisbon, Portugal Ana Fred, Technical University of Lisbon, Portugal Mehmet Gonen, Aalto University School of Science, Finland Marco Gori, University of Siena, Italy Bernard Haasdonk, Universitaet Stuttgart, Germany Edwin Hancock, University of York, UK Robert Krauthgamer, Weizmann Institute of Science, Israel Marco Loog, Delft University of Technology, The Netherlands Marina Meila, University of Washington, Seattle, USA Vittorio Murino, Italian Institute of Technology, Italy Marcello Pelillo, University of Venice, Italy Massimiliano Pontil, University College London, UK Antonio Robles-Kelly, NICTA, Australia Fabio Roli, University of Cagliari, Italy Samuel Rota Bulo', University of Venice, Italy Volker Roth, University of Basel, Switzerland John Shawe-Taylor, University College London, UK Andrea Torsello, University of Venice, Italy Richard Wilson, University of York, UK Lior Wolf, Tel Aviv University, Israel

PhD studentship and bioinformatician post on the genetics of ageing

PhD Studentship: The Integrative Genomics of Ageing Group at the University of Liverpool is accepting applications for a PhD studentship available for start in the autumn of 2013. We are looking for an enthusiastic and ambitious student to develop and apply sophisticated data-mining methods and computational models at the interface of biology, mathematics and computer science. The sequencing of genomes has opened unparalleled opportunities to compare multiple genomes and identify coding or DNA regulatory sequences that modulate ageing in humans or determine species differences in ageing and longevity. There is also an urgent need to understand how genes associated with ageing collectively regulate the ageing process. We are analysing gene expression data and developing gene networks to deepen our knowledge of how genes interact with each other and with the environment to gain new insights into the genetics of ageing and identify new candidate genes for experimental validation. The exact direction of this project, however, will be adapted to fit the research interests of the student. Though this project is primarily computational, our group also has wet lab facilities and thus it is possible to experimentally validate any computational predictions emerging from this project.

This studentship is in competition for funding with others at our institution. The funding is only available to UK citizens and residents. Non-UK students interested in our group’s work, however, are encouraged to contact us as it may be possible to apply for personal fellowships. Self-funded students are also invited to apply.

Bioinformatician: A bioinformatician position is also available in our group to employ computational biology approaches to study ageing and longevity. As above, areas of interest include (but are not limited to) systems biology, functional genomics, network analysis, and genome evolution. Applicants should have a degree in computer sciences or biology with experience in programming languages, ideally in context of bioinformatics and genomics. Relevant publications would be a plus. The post is available for one year in the first instance but can be renewed depending on performance and funding.

More details about our research are available at:
http://pcwww.liv.ac.uk/~aging/

Potentially interested students are welcome to contact us for an informal discussion (aging@liv.ac.uk or 0151 7954517).

Professor (W2) “Machine Learning” in Oldenburg, DE

The University of Oldenburg, Germany, is seeking to fill as soon as
possible the position of an associate professor (W2) in “Machine
Learning”. The successful candidate should contribute in a meaningful
way to the existing research focus areas speech processing, auditory
scene analysis, pattern recognition and communication acoustics. She/he
should exhibit links to the topics of the cluster of excellence
Hearing4All, e.g. in statistical signal processing or in numerical
modeling and realtime experimental control. More information can be
found on http://www.uni-oldenburg.de/stellen/?stelle=61380. The
application deadline is 31 January 2013.

Extended deadline 4 February: Call for Contributions to Final PASCAL2 review Meeting – Palma de Mallorca – 11 April 2013

Dear Pascal2 Researchers,

A reminder about the below call. You can submit your papers at https://www.easychair.org/account/signin.cgi?conf=mlcogs2013

All good wishes,

Victoria

From: Shawe-Taylor, John
Sent: 06 December 2012 15:35
To: researchers@pascal-network.org
Subject: Call for Contributions to Final review Meeting

Dear Pascal Researchers,

We have arranged to hold our final review meeting in Palma de Mallorca collocated with a EUCOGIII Network meeting. We have the afternoon of April 11 set aside to highlight some of the research that has been carried out within the network and propose to organise this as a series of spotlight presentations and poster sessions in order to enable maximum interaction with members of the review panel and EUCOGIII Network.

We therefore invite contributions in the form of a summary (not exceeding 4 pages in NIPS 2012 style) of the work to be presented highlighting its potential impact and where appropriate relevance to Cognitive Systems. For those papers selected all costs of attending the meeting will be covered either by PASCAL central funds or EUCOGIII.

What’s in it for you:
• Chance to be highlighted as a key researcher within PASCAL with your work remaining visible through a publication in the journal of machine learning video abstracts (see http://videolectures.net/machine_learning_video_abstracts_vol1/)
• chance to promote collaboration with cognitive scientists
• free trip to Mallorca.

I am currently recruiting members of the programme committee for this event, but below is a list of those who have already agreed to be involved. The deadline for submission will be 4th Feb – details of how to submit will follow in the New Year.

Many thanks
John

PASCAL/EUCOGIII Joint Session on Learning
Programme Committee Members
Sami Kaski
Dunja Mladenic
Moritz Grosse-Wentrup
Peter Auer
Florence d’Alche-Buc
Alfons Juan
Vincent Muller
David Barber

Reminder: ECML/PKDD 2013 Call for Workshop Proposals

The ECML/PKDD-2013 Organizing Committee invites proposals for workshops to be held on the first and last days of the conference, which will take place in Prague from September 23rd to 27th, 2013. We invite proposals for full-day workshops in relevant and current topics in Machine Learning and Data Mining. The scope of the proposal should be consistent with the conference themes as described in the ECML/PKDD 2013 Call for Papers (http://www.ecmlpkdd2013.org/first-call-for-papers/).
Workshops provide an opportunity to discuss current topics in a small and interactive atmosphere. They can concentrate in-depth on research topics, or be devoted to application issues, or to questions concerning the economic and social aspects of machine learning and data mining. Interdisciplinary workshops that bring together researchers and practitioners from different communities are especially welcome. We encourage workshops that bridge the gap between theoretical advances and important applications of machine learning and data mining.
Workshops are expected to cover a full day, with a program of typically 7 hours including a 30-minute coffee break and a 90-minute lunch break. We would like to encourage proposers to aim for a program that is both varied and interesting. Especially where the format of the workshop is concerned, we would like you to think about ways of going beyond the usual list of presentations of accepted papers, for example by means of panels, discussions, demo sessions and invited talks. For some workshops, it may be preferable to first present an introduction to the state of the art in the field given by experienced invited presenters, and afterwards discuss more technical or novel work in a standard workshop setting. Another way of extending the usual format is to include a specific challenge problem that can be addressed by the workshop participants, with a dedicated challenge session in the workshop program. Note that the challenge should be only one of the components of the workshop, targeting a problem which is specific to the workshop topic(s). Proposals focusing mainly on challenge problems should be submitted to the Discovery Track.
In general, workshop proposals that show creativity as to the format will be judged favourably in the proposal selection. Furthermore, having ideas for follow-up to your workshop, in terms of for example a book or journal special issue, will help to attract more submissions, and make your workshop (proposal) a success.
We encourage workshops on novel and original topics, but also welcome successors to workshops that have been organized at ECML/PKDD or a related conference in the past. For successor workshops, proposers should motivate how another instance of the workshop series will address novel developments in the respective research field, and should be able to show that the previous edition(s) were successful in terms of paper submissions and attendance.
Guidelines for proposals
Workshop proposals should contain the necessary information for the workshop chairs and reviewers to judge the importance, quality and community interest in the proposed topic. Each workshop should have one or more designated organizers and a workshop program. When proposing a workshop, please provide (at least) the following information:
• A brief description of the specific issues that the workshop will address, the reasons why the workshop is of interest in these times, the main research areas involved.
• Contact information of the workshop chairs, their competence in the proposed topic(s) and previous experience in chairing scientific events.
• A tentative list of Program Committee members.
• A draft of the Call for Papers, including information on accepted formats (e.g. regular papers, extended abstracts, oral only presentations of relevant recently published or submitted contributions, etc.) and expected format of the workshop (e.g., invited talks, presentations, poster sessions, panel discussions, or other ideas for ensuring an interactive atmosphere).
• Any special requirements regarding logistics (e.g. poster stands, more than one projector), if applicable.
Please submit your workshop proposals by e-mail to the ECML/PKDD workshop chairs (see contact information below). Proposals will be reviewed in close collaboration with the conference chairs and the program committee.
Important dates
The following deadlines are important for the workshop organizers:
• Workshop proposal deadline: Friday, March 8, 2013
• Workshop acceptance notification: Friday, March 29, 2013
• Workshop websites and call for papers online: Friday, April 5, 2013
• Workshop proceedings (camera-ready): Friday August 9, 2013
For paper submission, reviewing and final revisions, please consider the following deadlines:
• Workshop paper submission deadline: Friday, June 28, 2013
• Workshop paper acceptance notification: Friday July 19, 2013
• Workshop paper camera-ready deadline: Friday August 2, 2013

These deadlines are somewhat flexible, but consider as constraints that the paper submission deadline should be after conference author notification and acceptance notification should be before the conference early registration deadline.
Contact
In case you have any question, please do not hesitate to contact us. We are looking forward to your proposals. The ECML/PKDD 2013 workshop chairs:
• Andrea Passerini (University of Trento)
• Niels Landwehr (University of Potsdam)

Please send emails to workshops@ecmlpkdd2013.org

ImageCLEF 2013 Scalable Concept Image Annotation – Call for participation

ImageCLEF 2013 Scalable Concept Image Annotation – Call for participation http://imageclef.org/2013/photo/annotation

We cordially invite you to participate in this year’s Scalable Concept Image Annotation challenge, one of the subtasks of ImageCLEF (http://imageclef.org/2013). ImageCLEF is one of the labs of CLEF 2013 (http://clef2013.org), which this year will be held in Valencia, Spain.

The challenge addresses the problem of automatically annotating a (possibly very large) database of images, an important process in order to reliably index and later retrieve images from this database. Image concept detection generally has relied on training data that has been manually, and thus reliably annotated – an expensive and laborious endeavor that cannot easily scale, especially when the number of concepts grows. To address this issue, this task proposes to develop annotation systems by relying only on automatically obtained web data. The text surrounding the images in webpages frequently has relation to the content of the images, making it a useful, albeit very noisy, source of data.
The participants need to develop a system using only a provided training set of images and associated text, and optionally other resources that do not require labeling, e.g. more unlabeled images, WordNet, dictionaries, etc. Participating can be as simple as naively using the text data to define the presence or absence of concepts and then use an already existing supervised-based method, so we encourage you all to take part in the task.

The participants will have a chance to submit a paper describing their system, which will be published in the CLEF Labs Working Notes.
Furthermore, the groups of the best performing systems will be invited to give an oral presentation at CLEF 2013.

For more details on the task please visit http://imageclef.org/2013/photo/annotation

Schedule:
15/12/2012: Registration opens
07/01/2013: Training and Development sets available
07/01/2013: Development set baseline toolkit available
15/03/2013: Test set available
15/04/2013 — 22/04/2013: Submission system for runs is open
25/05/2013: Submissions results released
15/06/2013: Deadline for submission of working notes papers
23/09/2013 — 26/09/2013: CLEF 2013 Conference, Valencia, Spain

Organizers:
* Mauricio Villegas, PRHLT, Universidad Politécnica de Valencia, Spain, mvillegas@iti.upv.es
* Roberto Paredes, PRHLT, Universidad Politécnica de Valencia, Spain, rparedes@dsic.upv.es
* Bart Thomee, Yahoo! Research, Spain, bthomee@yahoo-inc.com

POSTDOC IN MACHINE LEARNING FOR SOCIAL SIGNAL PROCESSING

In highly dynamic environments such as airports, using robots to navigate and
interact with individuals and groups of people is very challenging. The EU
STREP project SPENCER aims at developing these capabilities.

We are offering a 2 year full time postdoctoral position, which is a
collaboration between the University of Twente and Delft University.
The position will be embedded in the Pattern Recognition and BioInformatics
Group (http://prb.tudelft.nl/) at the Technical University of Delft, working
closely with Dr. Hayley Hung and employed by the Human Media Interaction Group
(http://hmi.ewi.utwente.nl/) at the University of Twente.

The postdoc will be required to carry out novel research work on devising
methods to automatically analyse social group behavior to facilitate better
human-robot interaction. This involve cross-disciplinary research methods, using
findings in social psychological research to inspire the design of computational
models that automatically interpret socially relevant characteristics of
individuals and groups. The successful candidate will have the opportunity to
work with a trans-European research team (University of Aachen, University of
Freiburg, etc). The successful applicant will also gain valuable experience in
carrying out research, while also having contact with industrial partners
(BlueBotics, KLM) to transform the research findings into a working
demonstrator. There will also be opportunities to participate in various
national and international conferences and workshops etc.

==============================================================
*Your Profile:*
==============================================================
All applicants should have or expect to obtain a PhD within four months of
commencing the position. Interested applicants should have a strong background
in some or all of the following subjects, or a related discipline:
social signal processing, machine learning, computer vision, signal processing,
affective computing, social computing, pattern recognition. Experience working
with models for sensor and/or data fusion is a bonus.

The successful applicant will have:
– a proven track record in carrying out excellent research;
– a strong publication record in international conferences and journals;
– 3+ years programming experience;
– curiosity and good analytical skills;
– the ability to work in a multi-disciplinary team;
– motivation to meet deadlines;
– an affinity with the relevant social science research;
– excellent oral and written communication skills;
– an interest in communicating their research results to a wider audience;
– proficiency in English;
==================================================================
*Application procedure:*
==================================================================
Interested applicants should send an up to date curriculum vitae (with a
complete list of publications), letter of application, and the names and the
contact information (telephone number and email
address) of three references.

The letter of application should summarise (i) why the project is of interest to
the applicant, (ii) evidence of suitability for the job, (iii) the applicant’s
research contributions in the previous 3-5 years, and (iv) what the applicant
hopes to gain from the position.

If you have any questions about the position, please contact Dr. Hung at
hayleyhung@gmail.com, strictly for information about the position.

All applications material should be uploaded via the University of Twente vacancies page:
http://www.utwente.nl/vacatures/
(click on the link ‘Postdoc Position in Social Computing’ and then ‘Apply Now’)

Please submit applications on or before February 8, 2013. Late applications may
be also be considered but early applications will be given priority.

Further information about our offer and the institutions can be found at:
http://www.utwente.nl/vacatures/
(click on the link ‘Postdoc Position in Social Computing’)

2 Postdoc positions in Natural Language Processing – Information Retrieval at KU Leuven

The KU Leuven offers an F+ fellowship to an outstanding postdoctoral researcher who is specialized in natural language processing and machine learning. The work will be conducted in the framework of the EU FP7 MUSE research project (http://www.muse-project.eu/) granted under the Future and Emerging Technologies ICT call. The candidate is holder of a PhD degree, and should have published several papers in any of the following journals or conferences:
• Computational Linguistics, Computer Speech and Language, Artificial Intelligence, Journal of Machine Learning Research, Machine Learning, IEEE Intelligent Systems
• Proceedings of ACL, EACL, NAACL-HLT, COLING, IJCAI, ICML, ECAI.

The position will be for one year starting in the late Spring or Summer 2013 and can be prolonged. He or she has a large interest in “machine reading” and semantic processing of text. The candidate has completed the PhD with success as evidenced by multiple publications in the venues cited above. He or she must have obtained a PhD from a university other than KU Leuven and must preferably have an international profile. He or she has a master degree (cum laude) in computer science, electrical engineering, mathematics, physics or a related discipline. The candidate does not have a postdoctoral status for more than six years. In order to be taken into consideration, the candidate must be available on a full-time basis. Furthermore, the candidate has excellent English language skills (written and spoken), good communication skills especially for guiding master and PhD students, good programming skills (e.g., Java, C++, MATLAB, Python) and has the capability to work independently and in a team.

Please send your application to Marie-Francine Moens the latest by March 15, 2013. Please add a CV, grade transcripts, and publication list. Reference letters may be useful as well.

——————————————————————————————————–

The Language Intelligence and Information Retrieval team, which is part of the Human Computer Interaction group at the Department of Computer Science at KU Leuven (http://www.cs.kuleuven.be/groups/liir/), has an open position for a postdoctoral researcher specialized in information retrieval. The work will be conducted in the framework of the EU FP7 TOSCA-MP project (http://tosca-mp.eu/) and the SBO-IWT PARIS project (http://www.parisproject.be/). The position will be for two years starting in the Spring or Summer 2013. The candidate is holder of a PhD degree, and should have published several papers in any of the following journals or conferences:
• Information Retrieval, Information Processing and Management, ACM Transactions on Information Systems
• Proceedings of SIGIR, ECIR, CIKM, WWW.

The candidate has a large interest in multimedia and advertisement retrieval. He or she has a good knowledge of ranking and aggregation models, structured output learners, dimensionality reduction and latent class models. The candidate has completed the PhD with success as evidenced by multiple publications in the venues cited above. He or she has a master degree (cum laude) in computer science, electrical engineering, mathematics, physics or a related discipline. Furthermore, the candidate has excellent English language skills (written and spoken), good communication skills especially for guiding master and PhD students, good programming skills (e.g., Java, C++, MATLAB, Python) and has the capability to work independently and in a team.

Please send your application to Marie-Francine Moens the latest by March 15, 2013. 
Please add a CV, grade transcripts, and publication list. Reference letters may be useful as well.