Pre-Ph.D. and postdoctoral positions in NLP at the Sapienza University of Rome

TWO RESEARCH FELLOW POSITIONS IN NATURAL LANGUAGE PROCESSING

Sapienza University of Rome (Italy)

One pre-Ph.D. position (with the possibility of starting a Ph.D. in 2014 on the same salary), and one postdoctoral position, both in Natural Language Processing, are open in the Linguistic Computing Laboratory (http://lcl.uniroma1.it), Department of Computer Science of the Sapienza University of Rome.

The positions are part of a 5-year ERC Starting Grant funded by the European Research Council (ERC) and headed by Prof. Roberto Navigli (see http://multijedi.org for details and publications). The successful candidates will participate in a frontier research project on multilingual lexical semantics and will work in the vibrant environment of a leading and highly-active research team comprising 2 faculty members, 2 post-docs and 6 Ph.D. students.

REQUIREMENTS/QUALIFICATIONS

For the pre-Ph.D. position (LCL1-2013)

The successful candidate will work actively on BabelNet (http://babelnet.org) and its developments and extensions, including semantic and statistical machine translation:

* M.Sc. or equivalent in Computer Science, Computational Linguistics, Mathematics or related fields

* Solid programming skills in Java

* Fluent English. Knowledge of Italian is NOT a requirement.

* Publications in Computational Linguistics are a plus

For the postdoctoral position (LCL2-2013)

The successful candidate will drive the scientific and technological development and future directions of BabelNet (http://babelnet.org):

* Ph.D. in Computer Science, Computational Linguistics or related fields.

* Strong publication record in Computational Linguistics/Natural Language Processing, particularly in knowledge acquisition, (open) information extraction and/or ontology learning.

* Willingness to coordinate and supervise part of the research work of the ERC project.

* Ability to work in a collaborative environment, with a strong commitment to achieving research goals.

* Fluent English. Knowledge of Italian is NOT a requirement.

* Solid programming skills: Java and practical expertise with standard NLP tools are required, knowledge of Perl is a plus.

* Experience in research project management is a plus.

INFORMATION

* Application deadline: November 20, 2013

* Starting date: as early as possible in 2014

* Duration: 1+1+1 years

* Salary: 25000 euros (LCL1-2013) and 37000 euros (LCL2-2013) per annum, depending on qualifications. Note that this type of research contract is exempt from most taxes (25000 euros per annum corresponds to around 1600 euros net per month; 37000 euros per annum corresponds to around 2400 euros net per month).

HOW TO APPLY

Application and informal inquiries can be sent by email to Roberto Navigli (navigli@di.uniroma1.it). The application requires a detailed CV and contact details for up to three references. Please include the job reference (LCL1-2013 or LCL2-2013) in the subject line.

ABOUT THE SAPIENZA UNIVERSITY OF ROME

The Sapienza University of Rome is a seven-century-old university in the heart of Rome. It is one of the largest universities in Europe, with around 150,000 students. Its Faculty of Information Engineering, Informatics and Statistics (that includes the Department of Computer Science) is one of the youngest, most energetic and scientifically active environments at Sapienza. The Sapienza University is an equal opportunity employer.

ABOUT THE SAPIENZA COMPUTER SCIENCE DEPARTMENT

The Department of Computer Science is a modern and well-equipped research institution with a top-class faculty and a strong Ph.D. program. The Department comprises 44 faculty members (among whom 3 ERC grant holders), 15 postdocs and around 30 Ph.D. students. The successful candidates will be based in Rome, one of the most beautiful cities in the world. The Department is situated just across the road from the main University Campus, close to a student area with lots of cafes, bars, restaurants, and only a short bus ride from the city centre. Candidates should not be afraid of the language barrier, as Italians are in general very friendly. English is spoken widely throughout the Department.

--

=====================================
Roberto Navigli
Dipartimento di Informatica
Sapienza University of Rome
Viale Regina Elena 295 (second floor)
00161 Roma Italy
Phone: +39 0649255161 - Fax: +39 06 8541842
Home Page: http://wwwusers.di.uniroma1.it/~navigli
=====================================

3 year PhD studentship in Visual Contextualisation of Multidimensional Data

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The OAK Group, Department of Computer Science, The University of Sheffield, is offering a fully funded 3 year PhD Research Studentship in Visual Contextualisation of Multidimensional Data

Application closing date is 15 November 2013.
Start date is 1 January 2014 or soon thereafter but not after March 1 2014

Aim

The aim of this studentship is to research new methodologies for contextualising multidimensional data to support decision-making in complex situations. The studentship will involve working on the externally funded WeSenseIt (www.wesenseit.eu) research project, supported by the European Commission as part of FP7. WeSenseIt is a multi-site, multi-disciplinary project involving researchers and industrial partners in web technologies, environment and sensing, as well as social media monitoring. The project aims to develop a new concept of citizen observatories of water where authorities and citizens cooperate to monitor rivers: the project is providing the social and technological methodology for the observatories, via methods for – among other things – monitoring of social media and the creation of novel low cost sensors that can be used and even built by the citizens themselves.

The student will be designing, developing and evaluating innovative solutions to enable contextual analysis of data focusing especially on the spatial and temporal dimensions and on methods to allow quick visual comparison with historic data and/or similar events. The student will need to focus on methods for interactive data analysis, allowing direct manipulation of data and visualisations.

Requirements
Candidates should have a First Class Honours/Distinction in Computer Science or Engineering (e.g. MComp, MEng or MSc) and have excellent computer programming skills (e.g. Java, Javascript, PHP, HTML, Python). Experience with human computer interaction and information visualisation is essential, and detailed knowledge of Web Technologies (in particular in the use of social media API) and experience in using data analysis tools and techniques (i.e. APIs for information extraction, sentiment analysis etc.) would be highly desirable. A background in user evaluation and statistical analysis of data would also be desirable, but is not strictly necessary.

Stipend and Fees

The grant will cover all study fees for EU and UK nationals and a living stipend for three years. The stipend will provide £13290 p.a.. The project will also provide travel funds for the student to attend international conferences. Non-EU citizens can apply but the bursary will not cover the additional non-EU fees (about £9,000 a year).

Full description can be found at http://staffwww.dcs.shef.ac.uk/people/F.Ciravegna/VAWeSenseItSFD.pdf 

For further information please contact
• Prof. Fabio Ciravegna (f.ciravegna@sheffield.ac.uk) AND • Dr Vitaveska Lanfranchi v.lanfranchi@dcs.shef.ac.uk AND • Dr Stuart Wrigley s.wrigley@dcs.shef.ac.uk

Best wishes

Prof Fabio Ciravegna,
Professor of Language and Knowledge Technologies,
Department of Computer Science, University of Sheffield,
Regent Court, 211 Portobello, S1 4DP, Sheffield, UK
Tel: +44(0)1142221940, Fax: +44(0)1142221810
www: http://staffwww.dcs.shef.ac.uk/People/F.Ciravegna/ 

Assistant Professor in Information Analysis and Retrieval at the University of Michigan School of Information

https://www.si.umich.edu/information-analysis-and-retrieval-assistant-professor

The School of Information at the University of Michigan (UMSI) seeks a tenure-track professor at the assistant professor level in the areas of information analysis, information retrieval, or "big data".  While we encourage applications from all areas of information analysis and retrieval, we are particularly interested in candidates with strong interest and expertise in creating novel techniques for mining large-scale text, behaviors, and scientific data and in developing visualizations or other interactive tools for data analysis. Particular applications of interest include but are not limited to scientific and health data analysis, text analysis, social media analysis, digital humanities, and information interfaces.

For all UMSI positions, we favor candidates whose research interests complement our existing expertise in such areas as computer-supported cooperative work; digital archives and preservation; human-computer interaction; incentive-centered design and information economics; information seeking, sharing and use; Internet-scale data, network and text analysis; social computing and informatics; and health informatics.

The mission of the School of Information is to create and share knowledge to help people use information -- with technology -- to build a better world. A successful candidate will be committed to, and will directly contribute to our goal of being the best research and teaching institution for the understanding and design of information and its technologies in service of people and society.

The School is home to vibrant research and teaching programs, with 36 FTE professors, and over 400 students.  We offer a Ph.D., a Master of Science in Information, a Master of Health Informatics (joint with the School of Public Health), a jointly-offered undergraduate informatics major, and as of fall 2014 we will offer our own Bachelor of Science in Information. Founded in 1817, the University of Michigan has a long and distinguished history as one of the first public universities in the nation. It is one of only two public institutions consistently ranked among the nation's top ten universities. The University has one of the largest health care complexes in the world and one of the best library systems in the United States. With more than $1 billion in research expenditures annually, the University has the second largest research expenditure among all universities in the nation. The University has an annual general fund budget of more than $1.7 billion and an endowment valued at more than $7.6 billion.

Qualifications:

•    Ph.D. in an area such as computer science, information science, statistics, informatics, computational linguistics, or related fields concerned with information analysis and retrieval

•    Demonstrated potential for successful teaching at the undergraduate and graduate level

•    Demonstrated potential for high scholarly impact

•    A strong commitment to teaching, interdisciplinary research, and cultural diversity

Review of applications will begin November 1, 2013 and continue until the positions are filled. Beside this position, the UMSI is also looking for applications to the area of human-computer interaction and the W.K. Kellogg Chair in Community Information. For more information or to apply, please visit https://www.si.umich.edu/umsi-faculty-positions-2013-2014. For questions about potential fit and your application please contact Dr. Qiaozhu Mei at qmei@umich.edu. 

The University of Michigan is an equal opportunity/affirmative action educator and employer.

--

Qiaozhu Mei

Assistant Professor

School of Information, Computer Science and Engineering

University of Michigan

Ann Arbor, MI 48109

Phone: 734-763-0076

Web: http://www-personal.umich.edu/~qmei/

Artech Openings for Service Desk Engineer-Bangalore

Hi,

Excellent openings with brand MNC clients.

Please read the mail completely and apply for the job.

Kindly, find the details as given below :

   Job location: Bangalore
   Designation: Service Desk Engineer / IT Helpdesk
   Salary: 200000L p.a
   Qualification: Any Graduates & Post graduate
   Shift : Willing to work in rotational shifts 24*7

Given below is the Job Description for "Service Desk Engineer" for our
client IBM and accenture - Bangalore Location.

- B2B job profile
- Providing technical support to different clients of across the globe
- Interacting with the clients either via calls, emails or chats.



General Skills
• Must have excellent communication skills (Rating 9/10)
• Must have knowledge on Computer Hardware and Networking concepts
• Must be willing to work in Rotational shifts (24/7)


Venue:
Artech Infosystems Pvt Ltd
Cyber Park ( Near Genpact/Audi Service Center), 1st Floor, Block B,
Plot No. 76 & 77, Electronic City Phase 1,
Doddathogur, Hosur Road,
Bangalore-560100.

Land Mark: Near Traffic Police Station


If interested forward your resumes to nireeksha.sk@artechinfo.in.

For any other clarifications, Please contact me NIREEKSHA S K,
+91-80-67344999, 49083500 x 3814(Extension Number),

     Thanks and regards,

   Nireeksha S K
   Executive - Staffing

   Cyber Park, 1st Floor, Block B, Plot No. 76-77, Electronic City Phase 1,

   Doddathogur Village, Hosur Road, Bangalore-560100

   Office: +91-80-67344999, 49083500 x 3814 | Fax: +91-80-67344900

   Email: nireeksha.sk@artechinfo.in | Website: www.artechinfo.in


   Artech is a Global Provider of Workforce Solutions & IT Consulting
   Services.

2014 IEEE Students' Technology Symposium : Call for Papers

Call for Papers---------------------------------------------------------------------------------------------------------------------------------------------

2014 IEEE Students' Technology Symposium
February 28 - March 2, 2014
Indian Institute of Technology, Kharagpur || Kharagpur 721 302 India
http://techsym.in/
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Sponsored by IEEE Kharagpur Section, Engineering in Medicine and Biology Society and Women in Engineering Affinity.

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We are happy to announce that according to Google Scholar metrics of publications, IEEE TechSym has been recognized as among the TOP 10 places for students to publish their work. 

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The mind of a student should be free to explore the universe of knowledge beyond realms of his academic portals. Such enlightenment can only come through interaction and involvement in activities in diverse domains. Freedom of ideation and excitement of being appreciated by peers can only enhance this quest for excellence. TechSym'14 is your chance to see the limelight of technical emergence and professional glory. The IEEE Student Branch of IIT Kharagpur in collaboration with IEEE Education Society SAC, IEEE EMB Student Club and Women in Engineering Affinity at IIT Kharagpur presents a unique platform for you.

The organizing committee of the IEEE Students' Technology Symposium 2014 invites scholastic contributions in the form of articles for oral/poster presentations. Submissions are invited for presentations at the following tracks:

Track 1 - HUMAN-MACHINE INTERACTION
Track 2 - IMAGING AND MULTIDIMENSIONAL SIGNAL PROCESSING
Track 3 - MEMS, ELECTRON DEVICES, AND SENSORS
Track 4 - PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Track 5 - POWER AND CONTROL SYSTEMS
Track 6 - RF SYSTEMS, COMMUNICATION, AND COMPUTER NETWORKS
Track 7 - TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE
Track 8 - VLSI DESIGN AND ELECTRONIC DESIGN AUTOMATION---------------------------------------------------------------------------------------------------------------------------------------------
PLEASE NOTE:
All deadlines are FIRM.  No extensions will be granted.

  Full Paper Submission: 28 October 2013
  Author Notification: 28 December 2013
  Final Papers Due: 28 January 2013
  Presentation Submission: 28 January 2014

Author Guidelines:

Papers should be submitted through CMT available at
https://cmt.research.microsoft.com/TECHSYM2014/

Papers should be formatted according to formatting guidelines available at:
http://ewh.ieee.org/sb/kharagpur/iit/TechSym2014/sub_author_instruct.html

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

Invitation for your students to compete in 3rd National Creativity Aptitude Test (NCAT 2014)

International Forum for Excellence in Higher Education 

Presents 

3rd National Creativity Aptitude Test (NCAT 2014)

Dear Sir/Ma'am, 

NCAT 2014 presents a unique opportunity for your college/institute to become a part of the Pan India creativity aptitude test. The NCAT or National Creativity Aptitude Test has been designed by some of the best brains from IITs & IIMs and aims to make students aware of the importance of creative thinking and to encourage them to use the same for various problem-solving exercises. The next creative genius who is destined to be the Bill Gates or Mark Zuckerberg of India can be among your students and this test will help your students to assess their creative quotient as well as their level of achievement motivation.

NCAT will be conducted in two phases. The first round will be conducted in your college and two top performers will be selected from each category to take the second round of test in IIT Delhi campus. The 1st round test questions come in the form of multiple choice questions that test a student's Quantitative Aptitude, Logical Reasoning, and Linguistic Skills. The 2nd round will have a mix of MCQs and subjective questions on creativity followed by an activity on achievement motivation. 

Based on course and year of study, students will be divided into following four categories: 

• Category 1: Students of 1st Year B.Tech/B.Engg./B.Sc./BCA
• Category 2: Students of 2nd Year B.Tech/B.Engg./B.Sc./BCA
• Category 3: Students of 3rd Year B.Tech/B.Engg./B.Sc./BCA & 4th Year B.Tech/B.Engg
• Category 4: Students of 1st & 2nd Year MBA/M.Sc./MCA/M.Tech.

Awards and Accolades

• For each category winners will receive cash prize as mentioned below: 
• 1st Prize: Rs. 25,000
• 2nd Prize: Rs. 15,000
• 3rd Prize: Rs. 10,000

• Top Fifteen Performer in each category will get a Residential IIT Delhi Certification Course of one week at IIT Delhi on Creativity and Innovation.
• Every student will get a certificate of participation and those with more than 75 percentile will get a certificate of excellence. 
• Creative Institute Award will be given to one of the participating Colleges/Institutes on the basis of maximum number of Students in the top 10 percentile from the College/Institute.

Some Important Dates

• Last Date of Registration: 21 Dec 2013
• Date of Round 1 exam (at the College/Institute): 08 Feb, 2014
• Result of Round 1 Exam: 15 Mar, 2014
• Date of Round 2 exam (at IIT Delhi*) : 14 Jun, 2014
• Declaration of Winners: 17 Jun, 2014
• College/Institute may postpone or prepone the date of Round 1 test by 3 days from actual date.

The enrollment fee for this test is only Rs. 250 of which Rs. 25 can be retained by the college towards its expenses which includes bank charges, postal charges, and honorarium for the Faculty in-charge etc.

For additional details pertaining to the test, visit www.ncat.co.in or contact Manish Kumar at +91 9810843341, email - info@ncat.co.in.

Sincerely,

Manish Kumar

www.ifehe.com

Postdoc position in Biomedical Natural Language Processing (NLP)

Are you an NLP star looking for a postdoc? Would you like to do NLP research at a leading academic medical center creating tools that will streamline and improve healthcare for millions of people? Does working at a lakefront location in downtown Chicago excite you?

If so, Northwestern University's Feinberg School of Medicine has an opportunity for you. Be part of a prestigious institution that offers great benefits. To apply, email sid@northwestern.edu with your CV or see below. 

Job Summary:
http://www.northwestern.edu/hr/careers (Job ID - 22036)

Northwestern University has A POSTDOCTORAL RESEARCH FELLOW position in Biomedical Natural Language Processing (NLP) is open in the Division of Health and Biomedical Informatics. The position is part of a 3-year NIH/NLM Grant headed by Dr. Siddhartha Jonnalagadda. The successful candidate will participate in innovative research to use NLP methods for medical literature mining and decision support. They will work in a stimulating environment of the Division of Health and Biomedical Informatics.

Specific Responsibilities:

• To conduct natural language processing research within the scope of the NIH award.
• Consultation with co-investigators on appropriate design and development.
• Work toward independent research writing papers, manuscripts, presentations and briefs.
• To supervise students and other techs working in the dry lab.
• Prepares written reports and publications as primary author and presents research findings at regional and national meetings.

Minimum Qualifications:

• PhD in Computer Science, Biomedical Informatics or related fields with a focus on Natural Language Processing or Computational Linguistics and exposure to biomedical literature.
• Strong publication record in Biomedical Natural Language Processing.
• Willingness to coordinate and supervise part of the research work of the project.
• Ability to work in a collaborative environment, with a strong commitment to achieving research goals.
• Solid programming skills.
• Java and practical expertise with standard NLP/related tools are required.

Preferred Qualifications:

• Knowledge of Perl/Python is a plus
• Experience in mining clinical literature.

As per Northwestern University policy, this position requires a criminal background check. Successful applicants will need to submit to a criminal background check prior to employment. 

Northwestern University is an Equal Opportunity, Affirmative Action Employer 

Date Posted: 10/8/2013

Open Position for Postdoctoral Researcher (Cross-Lingual Web Classification) at ISTI-CNR, Pisa, IT

The Human Language Technology group of the Institute for the Science and Technologies of Information of the Italian National Council of Research (ISTI-CNR) seeks a highly motivated individual to conduct both basic and applied research in the field of cross-language web classification, with specific emphasis on transfer learning / domain adaptation techniques.

The HLT group conducts both basic and applied research in areas at the interface of information retrieval, machine learning, and natural language engineering, with specific emphasis on tasks such as text classification, information extraction, and opinion mining.

The successful candidate will contribute to the groups' ongoing projects in the field of cross-language text classification and cross-language Web site classification.

A must:

* PhD in Computer Science or Computational Linguistics a must;
* Background in one or more of (i) information retrieval, (ii) supervised or semi-supervised
 machine learning, (iii) natural language engineering;
* solid programming and experimental skills;

A plus:

* competence in multilingual text processing.

ISTI-CNR is one of the premier research centers for computer science in Italy, and is located in beautiful and vibrant Pisa, in the heart of Tuscany.

The deadline for submitting applications is November 6, 2013; the official call is published at http://bandi.urp.cnr.it/doc-assegni/documentazione/4237_DOC_IT.pdf (see also http://bandi.miur.it/bandi.php/public/fellowship/id_fellow/64555).


For further information please contact

Fabrizio Sebastiani
Istituto di Scienza e Tecnologie dell'Informazione
Consiglio Nazionale delle Ricerche
Via Giuseppe Moruzzi, 1
56124 Pisa (ITALY)

Phone:  +39 050 621 2892
Fax:    +39 050 315 3464
E-mail: fabrizio.sebastiani@isti.cnr.it
WWW:    http://www.isti.cnr.it/People/F.Sebastiani/
Skype:  fabseb60

Open Position for a PhD Student in Web-based Music Information Retrieval at the JKU Linz, Austria

We are pleased to announce an open position for a PhD student at the

Department of Computational Perception, Johannes Kepler University Linz,
Austria (www.cp.jku.at).

We are looking for a highly motivated student to work on the upcoming
EU FP7 3-year-research project

-------------------------------------------------------------------------------
      GiantSteps -- Seven League Boots for Music Creation and Performance
-------------------------------------------------------------------------------

We are seeking a creative and motivated PhD student with a strong background
in at least two of the following fields:

 • Web Mining
 • (Music) Information Retrieval
 • Information Extraction

Furthermore, affinity to the following areas is an advantage:
 • Electronic music (production and consumption)
 • Music computing
 • Machine learning
 • Data representation/ontologies
 • Cloud computing


Research tasks to be carried out in this position will likely include:
 • Developing methods for extracting knowledge on musical styles from Web
   sources
 • Designing recommendation methods in the context of music creation and
   performance
 • Developing techniques for distributed music creation

More information about the GiantSteps project can be found at

                http://www.cp.jku.at/research/projects/GiantSteps


The requirements are a Master's degree in Computer Science or a related field,
proficiency in English, interest in scientific work, good presentation skills,
flexibility in traveling, and willingness to present scientific work at
international conferences. No knowledge of particular programming languages is
required, but the candidate is expected to quickly learn and apply new
technologies.

The successful applicant will be allowed to work in a creative environment
within an excellent research team.

The salary will be between EUR 28,000 and 36,000 per year (pre-tax, subject to
negotiation). The accepted applicant will additionally have the opportunity to
enroll in a PhD program in Computer Science at the Johannes Kepler University
Linz. Note that the JKU and GiantSteps follow an equal opportunity hiring
policy, thus, when equally qualified, we will give preference to female
applicants to balance the research team.

Please send your application including CV, list of publications, one or two
related publications (if available), as well as any other material you consider
relevant via email to:

  peter.knees@jku.at

If you have any further questions, feel free to contact me:

  Dr. Peter Knees
  Department of Computational Perception
  Johannes Kepler University Linz
  Altenberger Strasse 69
  4040 Linz
  Austria

  Phone: +43 732 2468 4711
  http://www.cp.jku.at/people/knees

Open Positions: Text Mining, NLP, Visual Analytics

Position Announcement (15 Oct 2013)

Researchers and Software Developers

http://www.weblyzard.com/jobs

Participate in award-winning international research projects and become part
of a young and interdisciplinary team. You will closely work together with
other researchers with a passion for conceptualizing and implementing novel
solutions to challenging technical problems. You will collaboratively
advance the state of the art in one or more of the following disciplines:

Web intelligence, social media, information visualization, user interface
design, knowledge extraction, text mining, semantic search, and
crowdsourcing.

The Department of New Media Technology of MODUL University Vienna and the
Research Institute for Computational Methods of Vienna University of
Economics & Business offer part-time (current students), full-time and PhD
candidate positions. Information on related research projects is available
at www.decarbonet.eu, www.ucomp.eu, www.weblyzard.com/divine and
www.ecoresearch.net/triple-c.

Essential Qualifications

** Extensive programming experience (preferably in Java, JavaScript or
Python)
** Strong analytical and problem-solving skills

Desired Qualifications :: Frontend Development Positions

** Dynamic Web technologies (JavaScript, jQuery, HTML5, PHP)
** Crowdsourcing and Games with a Purpose
** Human Computer Interaction, Responsive User Interface Design

Desired Qualifications :: Backend Development Positions

** Natural Language Processing, Text Mining (Python)
** Sentiment Analysis, Opinion Mining
** Affective and Factual Knowledge Extraction with Semantic Technologies

The positions remain open until filled. Salary levels follow the guidelines
of the Austrian Science Fund (FWF);
www.fwf.ac.at/de/projects/PDF/pek-2013.pdf. MU Vienna and VUEB are equal
opportunity employers and encourage qualified women to apply. Please send
your application including cover letter, curriculum vitae and academic
transcript to maximilian.lang@modul.ac.at (in English or German; preferably
as a single PDF file not exceeding 8 MB).

---
Prof. DDr. Arno Scharl
MODUL University Vienna
Department of New Media Technology
Am Kahlenberg 1, 1190 Vienna, Austria
web | www.modul.ac.at/nmt
email | scharl@modul.ac.at
twitter | @weblyzard

Two searches at VT CS for Assistant Professor: Machine Learning, Human-Computer Interaction

The Department of Computer Science at Virginia Tech
(http://www.cs.vt.edu)
invites applications for tenured or tenure-track faculty
positions (Assistant Professor) in these areas:
Human-Computer Interaction
Machine Learning
Software Engineering/Programming Languages
Algorithms

Please see http://www.cs.vt.edu/FacultySearch

For convenience, see details on the ML and HCI positions, below:

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

Machine Learning Search
(http://www.cs.vt.edu/Machine-Learning-Search)
Tenure-track Faculty Position in Machine Learning
Department of Computer Science, Virginia Tech

The Department of Computer Science at Virginia Tech
(http://www.cs.vt.edu)
invites applications for a full-time tenure-track
position, at the rank of Assistant Professor, from
candidates with expertise in machine learning.
The department is in the midst of making multiple
hires over multiple years in this and related areas.
Candidates should have a PhD in Computer Science,
Machine Learning or related discipline at the time
of appointment; a strong record of scholarship in
computing and interdisciplinary areas; interest in
tackling real problems and forging multidisciplinary
collaborations; demonstrated ability to contribute
to teaching at the undergraduate and graduate levels
in ML, AI, and related subjects; sensitivity to issues
of diversity in the campus community; and the skills
to establish and grow a successful research group.
Selected candidates are expected to travel occasionally
to attend professional conferences/meetings.

The Department of Computer Science has 36 research
oriented tenure-track faculty and 11 research faculty.
There are a total 12 NSF/DOE CAREER award winners
in the department. Research expenditures during FY2013
were $11.7 million; total research funding at the
beginning of FY2014 was $34 million. BS, MS, and PhD
degrees are offered, with an enrollment of over 550
undergraduate majors (12% women) and over 200 PhD/MS
students. In 2010, CS@VT was ranked 5th in the country
in recruiting quality of CS undergrads by the Wall Street
Journal. The department is in the College of Engineering,
whose undergraduate program was ranked 6th and graduate
program was ranked 12th among public engineering schools
in 2013 by US News and World Report.

There are three research centers associated with the
department. The new interdisciplinary Discovery Analytics
Center dac.cs.vt.edu focuses on 'big data' problems in
areas of national interest including intelligence analysis,
sustainability and health informatics. The Center for
Human-Computer Interaction www.hci.vt.edu supports
research in visualization, 3D interfaces, virtual
reality, usability and personal information systems.
The Center for High End Computing Systems
(http://www.checs.eng.vt.edu)
is known for its expertise in high performance computing,
including energy efficient and/or heterogeneous
supercomputers. Recently, we designed and acquired
HokieSpeed, a CPU/GPU 200+ node machine for use by
computational scientists and engineers across campus
through a $2M NSF MRI grant. HokieSpeed ranked 11th
in the world on the Green 500 List in November 2011.
CS faculty also participate in the Ted and Karyn Hume
Center for National Security and Technology,
http://www.hume.ictas.vt.edu, a cyber security center.

Virginia Tech is a comprehensive research university
with over 31,000 students. This hire is for the main
campus in Blacksburg, consistently ranked among the
country's best places to live

http://www.hr.vt.edu/great-place-to-work/culture-community

Salary for suitably qualified applicants is competitive
and commensurate with experience. Selected candidates
must pass a criminal background check prior to employment.

Applications must be submitted online to
https://jobs.vt.edu
for posting #117023 (direct link). We welcome
applications from women and minorities. Applicant
screening will begin December 15, 2013 and continue
until the position is filled. Early applications are
encouraged. Inquiries should be directed to Dr. Adrian
Sandu, Machine Learning Search Committee Chair,
sandu@cs.vt.edu.

Virginia Tech is an equal opportunity/affirmative action
institution.

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

Human-Computer Interaction Search
(http://www.cs.vt.edu/HCI-Search)
Tenure-track Faculty Position in Human-Computer Interaction
Department of Computer Science, Virginia Tech

The Department of Computer Science at Virginia Tech
(http://www.cs.vt.edu)
invites applications for a full-time tenure-track position,
at the rank of Assistant Professor, from candidates with
expertise in human-computer interaction (HCI). The
department is especially interested in sub-areas of HCI
involving human interaction with big data or advanced
technologies, such as large-scale data visualization and
human-robot interaction, but candidates from all areas of
HCI are encouraged to apply. Candidates should have a PhD
in Computer Science or related discipline at the time of
appointment; a strong record of scholarship in human-computer
interaction and interdisciplinary areas; demonstrated ability
to contribute to teaching at the undergraduate and graduate
levels in HCI and related subjects; sensitivity to issues of
diversity in the campus community; and the skills to establish
and grow a multidisciplinary research group. Selected
candidates are expected to travel occasionally to attend
professional conferences/meetings.

CS faculty have been involved in HCI research since the
early days of the field, and lead the interdisciplinary
Center for Human-Computer Interaction hci.vt.edu, a
university-wide effort that brings together faculty with
strengths in multi-sensory interactive communication,
ecologies of displays and devices, social/collaborative
computing, and human aspects of data/information/knowledge.
Within CS, there are rich opportunities for collaboration
in data mining/machine learning, parallel and distributed
computing, computational biology and bioinformatics,
information retrieval, software engineering, cyber security,
cyber arts, and CS education. Beyond the department, HCI
faculty members collaborate with researchers in design and
the arts (the Institute for Creativity, Arts, and Technology),
in engineering and science (the Institute for Critical
Technology and Applied Science), and in education, business,
and liberal arts.

The Department of Computer Science has 36 research oriented
tenure-track faculty and 11 research faculty. There are
a total 12 NSF/DOE CAREER award winners in the department.
Research expenditures during FY2013 were $11.7 million;
total research funding at the beginning of FY2014 was
$34 million. BS, MS, and PhD degrees are offered, with
an enrollment of over 550 undergraduate majors (12% women)
and over 200 PhD/MS students. In 2010, CS@VT was ranked
5th in the country in recruiting quality of CS undergrads
by the Wall Street Journal. The department is in the
College of Engineering, whose undergraduate program was
ranked 6th and graduate program was ranked 12th among
public engineering schools in 2013 by US News and World
Report. Other research centers associated with the
department include the new interdisciplinary Discovery
Analytics Center dac.cs.vt.edu, which focuses on 'big data'
problems in areas of national interest including intelligence
analysis, sustainability and health informatics, and the
Center for High End Computing Systems
(http://www.checs.eng.vt.edu) known for its expertise
in high performance computing, including energy efficient
and/or heterogeneous supercomputers. Recently, we
designed and acquired HokieSpeed, a CPU/GPU 200+ node
machine for use by computational scientists and engineers
across campus through a $2M NSF MRI grant.
HokieSpeed ranked 11th in the world on the Green 500 List
in November 2011. CS faculty also participate in the
Ted and Karyn Hume Center for National Security and Technology,
http://www.hume.ictas.vt.edu, a cyber security center.

Virginia Tech is a comprehensive research university with
over 31,000 students. This hire is for the main campus
in Blacksburg, consistently ranked among the country's
best places to live

http://www.hr.vt.edu/great-place-to-work/culture-community

Salary for suitably qualified applicants is competitive
and commensurate with experience. Selected candidates must
pass a criminal background check prior to employment.

Applications must be submitted online to
https://jobs.vt.edu for posting #117036 (direct link).
We welcome applications from women and minorities.
Applicant screening will begin December 15, 2013 and
continue until the position is filled. Early
applications are encouraged. Inquiries should be
directed to Dr. Doug Bowman, HCI Search Committee Chair,
bowman@vt.edu.

Virginia Tech is an equal opportunity/affirmative action
institution.


--
Professor Edward A. Fox
Virginia Tech, Dept. of CS, M/C 0106
114 McBryde Hall, Blacksburg, VA 24061 USA
+1-540-231-5113; fox@vt.edu; FAX +1-540-231-6075
http://fox.cs.vt.edu

IHCI 2013 Conference, Sydney Australia

Call For Participation

The 5^th International Conference on Intelligent Human Computer Interaction (IHCI 2013)
3—5 December, 2013, Sydney, Australia

The 5^th International Conference on Intelligent Human Computer Interaction (IHCI 2013) aims at presentation of professional research results and enthusiastic discussions among researchers, scientists, and industry professionals who are working in various disciplines to share and exchange experiences in the emerging research area combining HCI and AI.

For detail, please see the conference web page at http://cs.anu.edu.au/ihci2013/

Important deadlines
Full Paper Submission Due: 18 October 2013
Notification of acceptance: 10 November 2013
Camera Ready Due: 17 November 2013

Submissions can be done at https://www.easychair.org/account/signin.cgi?conf=ihci20131

Suggested topics for the conference include, but are not limited to:

Theory & Technology: Scientific methods and concepts for
  *   intelligent methods and interfaces
  *   language processing for intelligent interfaces
  *   novel interfaces for information retrieval and search engines
  *   personalization and adaptation of interfaces
  *   artificial intelligence tools applied to human computer interface data
  *   signal and vision processing for intelligent interfaces
  *   cognitive information communication (coginfocom)
  *   human friendly robotics

  *   interfaces and sensor technology (vital sensors and parameters; augmented reality, mixed reality    

       in mobile education/ training scenarios, location-based and ubiquitous technology; non-visual 

       senses: smelling, touching, hearing)

  *   evaluation studies (evaluation methodologies, models and metrics, evaluation tools,   

       effectiveness, efficiency)
Business:
  *   business models and market studies for/of HCI and AI applications
  *   grand challenges and obstacles for Intelligent HCI developers and publishers

Best-Practice & Application Domains:
  *   field reports, demonstrations and evaluation studies of intelligent interfaces
     *   for prevention, rehabilitation and therapy
     *   as well as any form of learning and knowledge transfer
     *   university or professional training and learning environments for individuals or groups
     *   research prototypes and commercial tools
     *    as well as AI / HCI applications in the fields of
          *   remote interaction,
          *   robots and e-toys,
          *   digital museum and cultural heritage,
          *   simulation and training

Tom Gedeon

Professor

College of Engineering and Computer Science

Head, Information and Human Centred Computing (iHcc) Research Group
Research School of Computer Science
The Australian National University, Canberra, Australia

Permanent Full Professor Position in Human Language Technology at the University of Caen Basse-Normandie, France

  Permanent Full Professor Position in Human Language Technology

           HULTECH - GREYC CNRS Research Laboratory
                 https://www.greyc.fr/hultech
          University of Caen Basse-Normandie (France)
====================================================================

The University of Caen Basse-Normandie (Caen, France) is recruiting a
Permanent Full Professor in the field of Human Language Technology.

The successful candidate will have to demonstrate top level
international competence in any area of Human Language Technology:
e.g. Information Retrieval, Text Mining, Human Computer Interaction,
Natural Language Processing, Document Engineering, to name but a few.

The candidate will be part of the team, "Human Language Technology
(HULTECH) from the Research Laboratory "Computer Science, Image,
Automation and Instrumentation of Caen" (GREYC) affiliated
to the National Center for Scientific Research (CNRS).

The candidate will be required to stimulate, lead and participate in the
internationalization and the excellence of the team, which consists of
12 permanent researchers.

In HULTECH, the candidate will find a young and dynamic environment
orientating its research around key themes such as personalization,
collaboration, accessibility, adaptivity and ubiquity of Human Language
applications in heterogeneous multilingual environments such as the Web
or social networks.

This position also aims to strengthen the area of Human Language
Technology at the Department of Computer Science of the University of
Caen Basse-Normandie. Within this context, the candidate will be
required to participate actively to the success the new Master in "Image
and Text" in which many modules will have to be ensured.

Candidates interested in this position of high responsibility are
invited to contact with the HULTECH team leaders, Gaël Dias
(gael.dias@unicaen.fr) and Nadine Lucas (nadine.lucas@unicaen.fr).

For more information about the teaching part, the applicant may
further contact the Direction of the Department of Computer Science,
Bruno Crémilleux (bruno.cremilleux@unicaen.fr) and Jean-Marie Le Bars (jean-marie.lebars@unicaen.fr). With regard to the research part, the applicant may also contact the Direction of the GREYC, Mohamed M'Saad
(mohammed.msaad@ensicaen.fr), Abdel-Illah Mouaddib (abdel-
illah.mouaddib@unicaen.fr) and Frédéric Jurie (frederic.jurie@unicaen.fr).

IMPORTANT ISSUE:
----------------

It is important to notice that all applicants must be qualified by the
French government ("qualification section 27") to be able to apply to
this position. The deadline for the qualification is forecasted to be
early December 2013. For any information, concerning this issue feel
free to contact Gaël Dias (gael.dias@unicaen.fr) and Nadine Lucas (nadine.lucas@unicaen.fr).


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%                                                                   %
%%%%%%%%%%%%%%%%%%%%%%%%%% FRENCH VERSION %%%%%%%%%%%%%%%%%%%%%%%%%%%
%                                                                   %
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====================================================================
       Poste de PR section 27 en Technologie du Langage Humain
                        HULTECH - GREYC CNRS
                    https://www.greyc.fr/hultech
                 Université de Caen Basse-Normandie
====================================================================

L'Université de Caen Basse-Normandie recrute un Professeur des
Universités section 27 dans le domaine de la Technologie du Langage
Humain pour la rentrée universitaire 2013/2014.

Le candidat devra démontrer une compétence renforcée de haut niveau
dans différents domaines de la Technoilogie du Langage Humain: par
exemple, Recherche d'Information, Extraction de Connaissances Texuelles,
Communication Homme-Machine, Traitement Automatique des Langues,
Ingénierie des Documents entre autres.

Le candidat sera intégré à l'équipe Technologie du Langage Humain
(HULTECH) au sein du laboratoire Groupe de Recherche en Informatique,
Image, Automatique et Instrumentation de Caen (GREYC - UMR 6072 CNRS).

Le candidat sera amené à dynamiser, diriger et participer à
l'internationalisation et l'excellence de l'équipe HULTECH composée de
12 membres permanents. HULTECH s'appuie sur un acquis reconnu
nationalement et internationalement dans le domaine du Document
Numérique, du Traitement Automatique des Langues, de l'Extraction de
Connaissances Textuelles, de la Communication Homme-Machine et de la
Recherche d'information.

Dans HULTECH, le candidat trouvera un environnement jeune et dynamique
orientant sa recherche autour de thèmes porteurs comme la
personnalisation, la collaboration, l'accessibilité, l'adaptabilité et
l'ubiquité d'applications du langage humain dans des environnements
numériques hétérogènes multilingues tels que la toile ou les réseaux
sociaux.

Ce poste vise également à renforcer la thématique des Technologies du
Langage Humain dans le dispositif d'enseignement du Département
Informatique de l'UFR Sciences de l'Université de Caen Basse-Normandie.
Dans ce cadre, le candidat sera amené, entre autres, à participer
activement au succès du Master Image et Langue dans lequel de
nombreux modules devront être assurés.

Le candidat intéressé par un poste à hautes responsabilités dans le
domaine de la Technologie du Langage Humain est invité à prendre
contact auprès des Responsables de l'équipe HULTECH, Gaël Dias
(gael.dias@unicaen.fr) et Nadine Lucas (nadine.lucas@unicaen.fr).

Pour toute information supplémentaire sur la partie enseignement, le
candidat devra contacter la Direction du Département d'Informatique,
Bruno Crémilleux (bruno.cremilleux@unicaen.fr) et Jean-Marie Lebars (jean-marie.lebars@unicaen.fr).
En ce qui concerne la partie Recherche, le candidat pourra également
contacter la Direction du GREYC, Mohamed M'Saad
(mohammed.msaad@ensicaen.fr), Abdel-Illah Mouaddib
(abdel-illah.mouaddib@unicaen.fr) et Frédéric Jurie
(frederic.jurie@unicaen.fr).

--
-------------------------------------------------------------------
Gaël Harry Dias                    |  Full Professor (PhD, HDR)
Human Language Technology Team     |  Head of HULTECH Team
GREYC - CNRS UMR 6072              |  [http://dias.users.greyc.fr]
University of Caen Basse-Normandie |  [gael.dias@unicaen.fr]
Campus Côte de Nacre               |  [Tel: +33 (0)2 31 56 74 87]
F-14032 Caen Cedex FRANCE          |  [Fax: +33 (0)2 31 56 73 30]
-------------------------------------------------------------------

HCI 2013 Conference, Sydney Australia

Call For Participation

The 5^th International Conference on Intelligent Human Computer Interaction (IHCI 2013)
3—5 December, 2013, Sydney, Australia

The 5^th International Conference on Intelligent Human Computer Interaction (IHCI 2013) aims at presentation of professional research results and enthusiastic discussions among researchers, scientists, and industry professionals who are working in various disciplines to share and exchange experiences in the emerging research area combining HCI and AI.

For detail, please see the conference web page at http://cs.anu.edu.au/ihci2013/

Important deadlines
Full Paper Submission Due: 18 October 2013
Notification of acceptance: 10 November 2013
Camera Ready Due: 17 November 2013

Submissions can be done at https://www.easychair.org/account/signin.cgi?conf=ihci20131

Suggested topics for the conference include, but are not limited to:

Theory & Technology: Scientific methods and concepts for
  *   intelligent methods and interfaces
  *   language processing for intelligent interfaces
  *   novel interfaces for information retrieval and search engines
  *   personalization and adaptation of interfaces
  *   artificial intelligence tools applied to human computer interface data
  *   signal and vision processing for intelligent interfaces
  *   cognitive information communication (coginfocom)
  *   human friendly robotics

  *   interfaces and sensor technology (vital sensors and parameters; augmented reality, mixed reality    

       in mobile education/ training scenarios, location-based and ubiquitous technology; non-visual 

       senses: smelling, touching, hearing)

  *   evaluation studies (evaluation methodologies, models and metrics, evaluation tools,   

       effectiveness, efficiency)
Business:
  *   business models and market studies for/of HCI and AI applications
  *   grand challenges and obstacles for Intelligent HCI developers and publishers

Best-Practice & Application Domains:
  *   field reports, demonstrations and evaluation studies of intelligent interfaces
     *   for prevention, rehabilitation and therapy
     *   as well as any form of learning and knowledge transfer
     *   university or professional training and learning environments for individuals or groups
     *   research prototypes and commercial tools
     *    as well as AI / HCI applications in the fields of
          *   remote interaction,
          *   robots and e-toys,
          *   digital museum and cultural heritage,
          *   simulation and training

Tom Gedeon

Professor

College of Engineering and Computer Science

Head, Information and Human Centred Computing (iHcc) Research Group
Research School of Computer Science
The Australian National University, Canberra, Australia

Useful presentation for writing research papers

Dear Professional Colleagues,
The following presentation has useful tips to write the research papers and can be found in the given link.

"Writing and Publishing Journal Articles: Ways to Decrease Stress and Increase Success" by Barbara Gastel, MD, MPH, Professor, Texas A&M University, INASP Associate—AuthorAID Project.

Website: http://www.authoraid.info/resource-library/writing-and-publishing-journal-articles-ways-to-decrease-stress-and-increase-success

__,_._,___

PhD Position in Effective & Efficient Information Retrieval at the University of Glasgow

The University of Glasgow is looking for a versatile, highly motivated PhD candidate to address research into effective and efficient information retrieval. This position is initially funded for 12 months, with the possibility of extension subject to performance. It is open to applicants from the UK and EU only, until the position has been filled.

* Job Description

While many information retrieval techniques can increase effectiveness, many do so at the cost of degraded efficiency. Instead, a search engine may make an appropriate choice to decide what to deploy for a particular query or load. In this research project, we expect a successful PhD candidate to research efficient and effective search techniques, deploy and test these within the Terrier information retrieval platform, within in environments such as Web search and social search.

* Requirements

Applicants must have completed a strong bachelor's degree (research oriented master's degree preferred) in a relevant field by the appointment date, and must have strong and demonstrable skills and knowledge across:

- information retrieval, including social and Web search;

- knowledge of search engine architectures, including learning to rank and techniques for efficient search;

- solid programming skills (particularly Java) are a requirement.

Research experience, or a track record of project based work, and demonstrable interest in the domain are a clear plus.

*Environment

The University of Glasgow offers an unrivalled research environment for PhD students undertaking work in the field of large-scale text mining and retrieval, with access to modern datasets and Big Data computing facilities. The University hosts one of the oldest IR groups in Europe, with over 30 research-active members. 

* Application?

Applications should include: i) a detailed curriculum vitae, ii) a research proposal (max 3 pages), and iii) preferably two letters of reference. Please submit applications to Craig Macdonald or Iadh Ounis, c.f. firstname.lastname@glasgow.ac.uk

Faculty Job at University of North Texas

The Department of Library and Information Sciences (LIS) at the College of Information of the University of North Texas (UNT) invites applications for a tenure track position in information security and information systems at the rank of assistant professor.  

Responsibilities:  The candidate will teach, conduct research, and provide service in an academic tenure track position with emphasis on information technology, information security, and information systems.  The candidate must demonstrate ability to design and deliver courses in a variety of formats, including online and hybrid modalities. The candidate is expected to teach core courses, within LIS and possibly cross-listed, with an emphasis in information security, assurance and/or privacy, coordinate students' practicum experiences and develop close relationships with practitioners and educators in these fields. The candidate should be willing to work closely with doctoral students and to serve on dissertation committees.

Qualifications: The minimum requirement for appointment is an earned doctorate in Information Science, Computer Science or other related fields at the time of appointment. The Department seeks candidates with expertise in two or more of the following areas: information security, information assurance, privacy, crisis management, information visualization, data mining, and information network technologies. Candidates will demonstrate evidence of effective teaching, research, and scholarship with experience/expertise in the broad area of Information Science.

Preference will be given to candidates with a demonstrated record of funded scholarly research, publication, and research productivity in the areas of information security, assurance and privacy.

Salary and benefits: Faculty appointments are for nine months with opportunities for summer teaching. Salary is commensurate with experience and qualifications. A choice of retirement plans and employer-funded health insurance is available. 

About North Texas: Known for its comprehensiveness, UNT is a diverse institution that is furthering its impact in science, engineering and nanotechnology while building on its foundation in the arts, education and business. As a university at the forefront of change, UNT provides a broad-based, student-focused education powered by award-winning faculty who unleash students' potential and advisors and mentors who help guide and keep them on track in earning their degrees.

As one of the nation's largest public universities and the most comprehensive in the Dallas-Fort Worth area, UNT is dedicated to providing an excellent educational experience to 36,000 students. It is a student-focused public research university with 12 colleges and schools offering 97 bachelor's, 81 master's and 35 doctoral degree programs, many nationally and internationally recognized.

The Department of Library and Information Sciences prepares information professionals of the highest quality to serve dynamic roles in the state, the nation, and the world. The master's program has been accredited continuously by the American Library Association since 1965.  The department also offers a bachelor's degree, graduate-level certification in school librarianship, post-master's certificate of advanced study, and interdisciplinary doctoral degree in information science. Detailed information about the department can be found at www.lis.unt.edu.

Applications: All applicants must apply online at: http://facultyjobs.unt.edu/applicants/Central?quickFind=51911 and attach the following application materials:

1)    Cover letter of application

2)    Complete curriculum vitae

3)    List of three professional references with full contact information

4)    Unofficial transcripts

 For questions or additional information, please contact Jiangping Chen, Chair of the Faculty Search Committee at Jiangping.Chen@unt.edu. 

Review of applicants will begin immediately and continue until the search is closed. Background check, letters of recommendation, and official transcripts are required prior to employment. 

 The University of North Texas is an EOE/ADA/AA institution committed to diversity in its employment and educational programs, thereby creating a welcoming environment for everyone.

Jiangping Chen, Ph.D.

Associate Professor, Library and Information Sciences

University of North Texas

Editor-in-Chief, The Electronic Library

1155 Union Circle #311068
Denton, Texas 76203-5017
Email: jiangping.chen@unt.edu

Phone: 940-369-8393

homepage: http://max.lis.unt.edu/