.Job openings at the Department of Computational Perception, JKU Linz, Austria

PostDoc Position in  Social Media Mining/Multimedia Retrieval/Recommender Systems/UIs, InfoVis, HCI
in the FWF project
               Social Media Mining for Multimodal Music Retrieval

More Information:
http://www.cp.jku.at/research/projects/P25655/open_position_postdoc.html

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PhD Student Position in
 Music Information Retrieval/Web Mining/Information Extraction/Machine Learning

in the EU FP7 project
        GiantSteps: Seven League Boots for Music Creation and Performance
More Information:
http://www.cp.jku.at/research/projects/GiantSteps/open_position_phdstudent.html

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PhD Student Position in
 Music Information Retrieval/Music Signal Processing/Machine Learning/Web Mining

in the EU FP7 project
  PHENICX: Performances as Highly Enriched aNd Interactive Concert eXperiences
More Information:
http://www.cp.jku.at/research/projects/PHENICX/open_position_phdstudent.html

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All positions are to be filled as soon as possible.

If you are interested in one or more of the positions or have any questions,
please contact:

markus.schedl@jku.at,
peter.knees@jku.at and/or
marko.tkalcic@jku.at


--
Dr. Peter Knees
Assistant Professor
Department of Computational Perception     Tel: +43 732 2468 4711
Johannes Kepler University Linz            Fax: +43 732 2468 4705
Altenberger Str. 69                            peter.knees@jku.at
4040 Linz, Austria              http://www.cp.jku.at/people/knees

.

Job Opening: Senior Research Officer in Human Language Technology/Computational Linguistics at the University of Essex

A Senior Research Officer position in Human Language Technology is
available in the Language and Computation Group at the University of
Essex, School of Computer Science and Engineering.

The position is supported by the SENSEI research project, supported by
the European Commission as part of FP7. SENSEI is a multi-site,
multi-disciplinary project involving researchers in language
processing and journalism and industrial partners in the call centre,
social media monitoring and news media businesses, taking advantage of
automatically extracted semantic and discourse information. The
project aims to develop novel methods to extract, summarize/aggregate
and present information from very large volumes of conversational
data, specifically, transcriptions of call centre conversations and
reader comment in on-line news.

Essex's primary responsibilities in the project will be in the area of
multilingual coreference resolution, entity disambiguation, and
summarization. We are therefore looking for candidates with a a strong
background in human language technology (HLT)/computational
linguistics (CL) and in-depth knowledge of machine learning techniques
as used in HLT/CL. Strong programming skills in Java are also
essential. Experience with some or all of the following specific
sub-areas in HLT/CL is highly desirable: coreference resolution and
entity disambiguation, information extraction/text mining and
summarisation. Experience with creating annotated corpora is also
desirable. The successful candidate will have a strong
publication track records, commensurate with their level of
experience, and experience with multi-site collaborative projects.

The Language and Computation Group at the University of Essex:

                      http://lac.essex.ac.uk

is one of the best known HLT/CL teams in the UK, with an international
reputation in information extraction (in particular coreference and
entity disambiguation), information retrieval, summarization, and
multilingual HLT.  The University is located in a beautiful area of
the country, with easy access to London and to the rest of Europe
through Stansted airport.

The position will be for a minimum of 30 months, starting from as soon
as possible from January 1st, 2014. The salary will be in the range
£30,000 - £33,000 per annum depending on experience.

To apply, please go online at:

                      http://www.essex.ac.uk/vacancies

and then search for Job Reference RE165. Please note that the deadline
for application is pretty soon, on

                      December 15th.

For further information, please contact Massimo Poesio
(poesio@essex.ac.uk).

An alumni Recommends Careers in Gerrmany

Hello Ravindra Sir,

Greetings of the day!

Iv been a fortunate student of the CSE department SDMCET batch-2004, I'm currently working with KPIT Technologies (earlier known as KPIT Cummins Ltd) and located in the US. 

I thought to inform about a friend who provides guidance to students who wish to study and make a career in Germany which includes a basic soft skills program as well.

A

Hope it helps our students who feel lost - Thank you.

Praveen Gokarn

HathiTrust Research Center Protoyping Projects

Dear Colleagues, please forward as you see fit.

The HathiTrust Research Center is seeking proposals for prototyping projects to define and implement a tool or service that will help scholars better identify and select relevant resources at scale from the HathiTrust corpus and/or facilitate the construction of large-scale worksets useful for scholarly analyses.  Grants of $40,000 will be offered to each of four successful respondents to be conducted over a nine-month period beginning April 2014. Workset Creation for Scholarly Analysis: Prototyping Project (WCSA) is generously funded by the Andrew W. Mellon Foundation.

A complete copy of the RFP is attached to this email and available online at: http://worksets.htrc.illinois.edu/worksets/?page_id=20.

RFP Schedule:

RFP Available: 22 November 2013
Letters of Intent Due (preferred): 16 December 2013
Final Proposals Due: 13 January 2014
Shortlist Meeting Invitations Issued: 20 January 2014
Shortlist Meeting: 20 February 2014
Award Notification: No later than 15 March 2014

Program Description (see the full RFP for more detail):

The HathiTrust (HT) is a large digitized-text corpus (> 10 million volumes) of keen interest to researchers working in a wide range of scholarly disciplines. To tap the analytic potential of this large and diverse corpus, to tame it and make it useful to them, many researchers need the wherewithal to gather together, into a kind of personal digital carrel, cohesive and coherent subsets of HT texts (potentially tens or hundreds of thousands of volumes or parts of volumes) amenable to the in depth forms of analysis they want to do. The attributes on which they seek to collocate digitized texts are not always recorded in standard bibliographic descriptions.

The HTRC will collaborate with four independent sub-awardees in conducting individual prototyping projects to develop and validate the potential of specific algorithms, services and/or tools that can enable the creation of large and small scale worksets of digitized texts and parts of digitized texts for scholarly analysis in ways not currently feasible. We are seeking proposals from engaged teams of digital humanists, librarians and computer scientists. We anticipate that the proposals received will approach the problem in a variety of different and complementary ways. Proposed prototype experiments must respond to real scholar needs and requirements.

Respondents are urged to contact htrc.wcsa@gmail.com, in advance of proposal submission to discuss eligibility, project details, prerequisites, and HTRC support with a member of the project team. Prime award project PIs are:

J. Stephen Downie, Graduate School of Library and Information Science, University of Illinois
Tim Cole, University Library, University of Illinois
Beth Plale, Data to Insight Center, Indiana University

**********************************************************
   "Research funding makes the world a better place"
**********************************************************
J. Stephen Downie, PhD
Associate Dean for Research
Professor
Graduate School of Library and Information Science
University of Illinois at Urbana-Champaign
[Vox/Voicemail] (217) 649-3839

. SBP 2014 Grand Data Challenge

Grand Data Challenge of 2014 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP14)

April 2 – April 4, 2014, UCDC Center, Washington DC, USA

http://sbp-conference.org/

SBP is pleased to offer a challenge problem again in 2014, and we expect it to build on the successes of previous years' challenge problems. The theme of the SBP 2014 Challenge is how to better demonstrate the power and value of "big data" in the social sciences.

Challenge Overview

We invite participants to explore the Global Database of Events, Language and Tone (GDELT), an expansive set containing a quarter-billion geo-referenced political news events covering the whole world since 1979, describing who did what to whom when and where, and use GDELT to

• Demonstrate the applications of spatial, temporal and network methodologies and their interactions,

• Identify the latent "influencers" of social movement and media-based political competition,

• Experimentally validate and improve models for social phenomena,

• Visualize social movements of different types on all levels at a glance,

• Propose solutions to societal problems including health care and public safety using data- and model- based reasoning, and

• To suggest new creative applications using the GDELT data.

Important Dates

* Submission deadline: December 20, 2013 (23:59 PST)

* Notification of Winners: January 17, 2014

Contacts:

For more information, please contact Wen Dong at  wendong@gmail.com,  or   

Katherine Chuang at katychuang@gmail.com, or Kevin Xu at kevinxu@outlook.com . 

.

Master of science in Information Systems with concentration in Information Security

One of a kind global education experience

Two Institutions, Two Years, Nine Months International exposure

Visit  http://www.vcu.edu/about   

or contact

saramaswamy@vcu.edu 

Queens College/CUNY Faculty Position in Information Science

Assistant Professor in Information Science – Fall 2014

Queens College, Graduate School of Library & Information Studies

Queens College, City University of New York, Graduate School of Library and Information Studies (GSLIS) invites applications for a tenure track Assistant Professor position in the area of Information Science. Qualified candidates are sought with research and teaching expertise as well as applied knowledge in two of the following areas:

Data Management and Curation

Content Management Systems

Information/Systems Architecture

Usability

Metadata

PhD in library/information science or a related field at the time of appointment. An earned graduate degree in library science is required. Preference will be given to applicants who have familiarity with the ALA accreditation process.

For detailed information and application materials visit: www.cuny.edu/employment.html  (Job #9136)

Completed application packets, including cover letter describing scholarly interests, curriculum vitae and 500 word essay addressing "Future Directions in LIS Education" must be submitted online, as one document.

For further information regarding application procedures contact colleen.cool@qc.cuny.edu.

The City University of New York is an EO/AA Employer