Post-Doc in Knowledge Discovery and Data Mining at GESIS Cologne

We are seeking for a Post-Doc in Knowledge Discovery and Data

Mining for the department Computational Social Science at GESIS
in Cologne, Germany.

GESIS - Leibniz-Institute for the Social Science is an internationally
active social science institute belonging to the Leibniz Association.
It is funded by the Federal Ministry of Education and Research
(BMBF) and the Federal States.

The GESIS department for Computational Social Science (CSS) in
Cologne is seeking a Post-Doc in Knowledge Discovery and Data
Mining (TV-L 13, 100%, initially for 4 years)

to join the Knowledge Discovery team at GESIS - Leibniz Institute
for Social Sciences, Cologne, Germany in collaboration with University
of Koblenz-Landau, Germany

<http://www.gesis.org/en/institute/gesis-scientificdepartments/computational-social-science/>

The ideal candidate has experience in one or several of the following fields:

    social tagging and algorithms for annotation, linked data & semantic web
    Information extraction, data mining and metadata enrichment
    Machine Learning, classification & clustering of textual resources
    Crawling and processing of web-scale (academic) data sets
    Large-scale data processing environments and studies

The candidate is expected to conduct cutting-edge applied research in one or several of the following domains:

    Digital libraries and science 2.0 information systems
    Knowledge Discovery and Data Mining
    Big Data and Linked Data
    Social computation and computational social science

The candidate should have completed (or should soon complete) a
PhD in Computer Science. The ideal candidate has a demonstrated
record of independently designing and conducting research and
publishing results in competitive conferences and journals. The open
position is intended to serve as a platform for promising young
researchers (i) to strengthen and develop their own research profile,
(ii) to conduct and publish highly competitive research, (iii) to acquire
research grants and (iv) to apply their research outcomes in real-world
platforms with thousands of unique users per week.

GESIS offers an exciting environment for interdisciplinary and
competitive research on the intersection between computer-,
information- and social sciences. GESIS is a research and service
organization that provides a research-driven infrastructure for the
social sciences and closely collaborates with computer science and
social science departments at top universities in Europe and Northern
America. Candidates with a strong research record will qualify for
extensive allowances for research visits and collaborations with
partnering universities. There is an opportunity for the candidate
to participate in teaching as well as to pursue a habilitation (a
qualification for Full Professor positions in some European countries)
at University of Koblenz-Landau. Cologne is a culturally diverse and
vibrant city (the 4th largest city in Germany with about 1 Mio. people)
in the heart of Europe attracting young and creative people from
all over the world.

GESIS guarantees that guidelines regarding employment laws for
the disabled and handicapped as well as laws and regulations
governing part-time employment will be observed. GESIS is an
equal opportunity employer and is certified by the European
work & family audit.

GESIS guarantees that guidelines regarding employment laws for
the disabled and handicapped as well as laws and regulations
governing part-time employment will be observed. GESIS is an
equal opportunity employer and is certified by the European
work & family audit.

For more information and details, please feel free to contact
Prof. Dr. Markus Strohmaier at strohmaier@uni-koblenz.de or
markus.strohmaier@gesis.org.

We only process online applications. Please apply here until
14.02.2014 or until the position is filled:

<https://www.hidden-professionals.de/HP/P_shorts/Now_Candid.aspx?jo=70397>
(select English)

The key number is: CSS-02

PhD Scholarships at RMIT University

.The School of CS&IT at RMIT University has 6 PhD scholarships available for students interested in designing scalable Information Retrieval systems. The positions will be based in Melbourne, Australia which has been rated as the World's most liveable city for three consecutive years according to the Economist (http://www.eiu.com/site_info.asp?info_name= The_Global_Liveability_Report). The positions can commence anytime in 2014.

Applicants should have some prior exposure and interest in one or more of the following areas: Information Retrieval, Databases, Algorithms / Data Structures, Natural Language Processing, and/or Data Mining. They should also have good technical skills, including good programming skills (C/C++, Java, Python, Ruby), and should have a good command of spoken and written English. Prior research experience is highly desirable. To be eligible for these scholarships you must have an honours/master degree in the area of Computer Science or related disciplines and meet RMIT’s PhD entry requirements.

PROJECT 1: Efficient and effective algorithms for top-k document retrieval

SUPERVISOR: Shane Culpepper

SUMMARY: The goal of this project is to develop new indexing and query processing algorithms for efficient and effective rank-aware text retrieval. Efficient algorithm design for big data is an increasingly important problem as energy costs continue to soar, and can now exceed hardware costs. In this project, two important problems in scalable web search are explored: real-time indexing and long query processing. Possible topic specialisations include suffix-based or inverted indexing, data compression, distributed or parallel text processing, and natural language processing for information retrieval. (2 PhD Positions available)

PROJECT 2: Improving web search using structured and unstructured geospatial information

SUPERVISORS: Timos Sellis and Shane Culpepper

SUMMARY: This project will investigate new approaches to ranked retrieval for location-aware search. Close to 20% of all web search queries contain location information, and this number is expected to continue growing as users become increasingly dependent on mobile devices for all of their daily Internet activities. We intend to combine state-of-the-art research from two domains: spatial keyword search in databases and ad-hoc search in Information Retrieval to improve the overall quality of search results. (2 PhD Positions available)

PROJECT 3: Effective summaries for search results

SUPERVISORS: Mark Sanderson and Falk Scholer

SUMMARY: Search engines return a search result page, which lists short summaries of each retrieved document. However, recent work has shown that users often fail to click on potentially useful documents, because of poor summary quality.  This project will take a new approach to the understanding, design, and construction of such summaries. To enhance search result summaries, this project will model how users determine document relevance when inspecting a summary; it will exploit a previously untapped source of information to dramatically improve summary quality; and it will create a new approach to retrieving relevant documents by considering their summarisability. (1 PhD Position available)

PROJECT 4:  Sub-collection retrieval: understanding and improving search engines    

SUPERVISORS: Mark Sanderson and Falk Scholer

SUMMARY: Modern search engines need to find useful answers from vast collections of diverse documents. Currently, a single ranking function is used to identify candidate answers. However, our recent pilot work has shown that using different ranking approaches for different parts of a document collection has the potential to significantly boost search performance. This project will analyse different definitions of sub collections, and study which features of ranking functions lead to different performance on distinct types of documents. This new knowledge will lead to a deeper understanding of search systems, and be used to create new ranking approaches, substantially improving on current search techniques, and benefiting all users of such tools.  (1 PhD Position available)

REMUNERATION: AU$24,500 per annum (tax free). Project 1 may also include an additional $5,000 for conference travel and a $3,000 top-up per annum depending on the applicant's track record. 

ELIGIBILITY: To be eligible for this scholarship you must meet RMIT's PhD entry requirements (http://www.rmit.edu.au/browse;ID=DR221;VIEW=INTL)

DEADLINE: 31 March 2014

HOW TO APPLY: To apply for one of these scholarships, you must complete an application consisting of:

- a one page research proposal outlining your interest and suitability for the project;

- a detailed curriculum vitae;

- undergraduate and honours/master transcripts; and

- contact details of two referees.

Submit your application via email directly to Associate Professor Xiaodong Li (xiaodong.li@rmit.edu.au). Please clearly indicate which of the projects you are applying for.

FURTHER INFORMATION: For further information about the specific projects listed above, please email the relevant supervisors: 

{shane.culpepper | mark.sanderson | falk.scholer | timos.sellis} @rmit.edu.au

Additional information about the RMIT School of Computer Science and IT, as well as general information about the CSIT PhD program, is available at http://www.rmit.edu.au/compsci .

.

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).
       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 desenvironnements
numériques hétérogènes multilingues tels que la toileou 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]
-------------------------------------------------------------------

Faculty position opening -- Beijing Normal University

Faculty Position Opening

Department of Information Management
Beijing Normal University

  The Department of Information Management, Beijing Normal University
in Beijing, China is seeking applicants for an opening faculty
position in the area of Library Science, Information Science, or
Computer Science. The position has responsibilities for teaching and
research in one or more areas of information analysis and management,
digital libraries, information system development, information
retrieval, and information visualization. The rank of the position
could be lecturer, assistant professor or associate professor
depending upon applicant's qualification. All qualified applicants are
welcome to apply. The teaching language of the department is Chinese
(Mandarin).

    Beijing Normal University (BNU) has more than 100 years of
history, which is almost as long as the history of Chinese modern
education. The University has developed from the Faculty of Education,
Capital Metropolitan University established in 1902 under the concept
of Establish school, prioritize teacher education，which initiated
faculty training for Chinese higher education. After several times of
merging and reforming since 1949, especially in the 1980s, BNU has
gone through a rapid development era and now is among the top
comprehensive research universities in China. The Department of
Information Management is a featured department of the University. Its
faculty conducts research in a board range of research fields
including Digital Library Technology and Management, Information
Resource Management, Information Management Technology and Information
System, Information Resource Management, Information Retrieval,
Information Visualization, and Informetrics.

    Interested applicants should submit their applications via E-mail
by March, 1st, 2014.

I. Qualifications
   1.     A Ph.D. degree in relevant fields.
   2.     Good academic training with successful teaching experience.
   3.     Good research experience and strong publication records.
   4.     Good team working and communication skill.

II. Remuneration package
    Negotiable.

III. Required Application Materials
    1.     A cover letter.
    2.     Resume, transcripts, the proof of research publications and
working experience
    3.     The proof of studying experience since the bachelor degree
    4.     Research and teaching plan.
    5.     At least three recommendation letters by noted scholars in
relevant fields (including contact information of the recommenders).

IV. Contact Information
     1.      Contacts: Dr. Xiaojuan Liu, Yushu Zhang
     2.      Address: School of Government, Beijing Normal University.
                             No.19, Xinjiekou Wai Street, Beijing,
P.R. China, 100875
      3.     Tel: 86-010-58805387
      4.     E-mail: lxj_2007@bnu.edu.cn, yushuzh@bnu.edu.cn

Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities

The Ubiquitous Knowledge Processing Lab (UKP Lab) offers several exciting
internship opportunities in cutting-edge research projects as

Research Intern in Natural Language Processing (NLP) / Text Mining / Digital
Humanities

located either at the Computer Science Department of the Technische Universität
Darmstadt or at the Information Center for Education at DIPF in Frankfurt
(Germany)

The positions are situated within one of the Lab's projects dealing with
automatic text processing, linguistic and machine learning based methods of
language analysis, corpus development for novel tasks, or tool support for users
in NLP research and humanities. The Lab's approach to NLP features the hybrid
methods in large-scale language processing, real-world text mining, and hands-on
skills in the rapid development of scalable systems with practical relevance.

Requirements: We are looking for internship students to work on one of the
following areas: computational linguistics, text mining, or machine learning,
with substantial theoretical knowledge, excellent problem-solving and
programming (Java) skills for language processing, eagerness to apply the
knowledge and skills in new contexts, and interest to participate in the Lab's
internationally competitive research. The ability to work independently,
personal commitment, teamwork and communication skills, and a readiness to
cooperate are required. The ability to speak German as well as previous
experience in NLP, text-mining, or digital humanities are beneficial, but is not
a job requirement.

We welcome applications of students at all levels of study (bachelor, master) as
well as graduate-level applications. The position is ideally suited to acquire
research experience abroad (also as required by the ongoing study program of an
applicant), or qualify as a Master-, PhD-student, or a research associate at one
of the leading universities, and for a competitive industry position.

The position is a fixed-term internship contract (6 months) with an option to
extend it up to 1 year, provided certain conditions are met. A part-time working
arrangement is possible. The internships are funded according to the level of
qualification, previous experience, and formal criteria.

The Computer Science Department of the Technische Universität Darmstadt is
regularly ranked among the best in Germany. The Ubiquitous Knowledge Processing
Lab (UKP Lab) in Darmstadt/Frankfurt (www.ukp.tu-darmstadt.de) led by Professor
Iryna Gurevych offers an excellent research environment. The distinguishing
features of its research are novel linked lexical semantic resources, algorithms
for semantic language analysis (for example, word sense disambiguation, or
semantic role labeling), and text-mining (for example, topic recognition, or
opinion analysis). The ongoing research projects closely cooperate with users of
the developed technologies in humanities, e.g. in educational research, text
interpretation in philosophy, corpus linguistics, or history sciences. Within
the graduate program "Knowledge Discovery in Scientific Literature"
(http://www.kdsl.tu-darmstadt.de/), the UKP Lab is networked with multiple
groups in machine learning, statistical NLP and information management.

Applications (including CV, details of previous academic work, at least two
educational and professional references, and final thesis in electronic form)
should be submitted to gurevych (at) cs (dot) tu-darmstadt (dot) de.

. Job Opportunities with TCS Information Resource Centre (IRC) at Mumbai

Job Opportunities with TCS Information Resource Centre (IRC) at Mumbai

Tata Consultancy Services (TCS) is an IT services, business solutions and consulting organization that delivers real results to global businesses, ensuring a level of certainty no other firm can match. A part of the Tata Group, India's largest industrial conglomerate, TCS has total employee strength of over 2,90,000 with the world's best trained IT consultants, in 44 countries. The company generated consolidated revenues of US $ 11.6 billion for the fiscal year ended March 31, 2013.

TCS takes pride in having a unique corporate Information Resource Centre model in place. Its large network of Information Resource Centre (IRC) in India spread across 13 cities. Winner of the Special Library Association (SLA) Centre of Excellence Award, 2009, for its high quality processes and benchmarks, and an exemplary application of management techniques and tools, TCS IRC consistently aligns its services to TCS's global business needs and helps associates maintain a competitive advantage.

To support its fast expanding information services network, TCS invites applications from talented, enthusiastic team players for the post of "IRC Officers" at different locations in Mumbai. These are regular positions and selected candidates should be prepared to work in any of these locations on a long-term basis. Remuneration and benefits will be on par with the best in industry.

Eligibility and Requirements:
• Regular & full time M.L.I.S./MSLIS/Masters in (Library Science/Information Science/ Information Management)/A.D.I.S/ equivalent degree.
• 0–4 years of experience preferably in academic/special /corporate library. (Experience acquired after the professional qualification will only be considered).
• Age not exceeding 28 years.
• Willingness to work in any location within the city with flexible timings.
• Ability to work both independently and in a team to deliver results in a constantly changing environment.
• A team player with good communication skills and customer service attitude.

Selection Process:
Resumes completed in all aspects in the prescribed format only will be considered for further review. Only the shortlisted candidates will be called for a written test on Friday morning, 7^th Feb 2014 at TCS office in Andheri (E). Personal interviews will be conducted the same afternoon based on written test performance.

Application Formalities:
Resumes in the prescribed format should be e-mailed on or before 31^st Jan 2014 to mumbai.irc@tcs.com
· Applications with insufficient information, not submitted in the prescribed format and those received after 31^th Jan 2014 will be rejected.
· No other documents / certificates are required at this stage.

No travel / daily allowances will be given to candidates attending the written test / interview(s).

Regards & best wishes,

Banalata Das
Asst.General Manager & Head- Mumbai IRC
Tata Consultancy Services Limited

__._,_.___

 

__,_._,___

Postgraduate diploma courses in NIELIT- cloud computing

The courses will help engineering graduates enter the information technology and electronics industries.

The National Institute of Electronics and Information Technology (NIELIT), Kozhikode, an autonomous body under the Union government, has invited applications for admission to postgraduate diploma courses commencing in February and March.

The courses will be useful for engineering graduates to enter into the information technology sector and the electronics industry.

Postgraduate diploma in Information Security and Cloud Computing (24 weeks): the course is aimed at moulding candidates into skilled system or cloud engineers with information security knowledge to maintain the systems, networks and cloud infrastructure. The course provides candidates with information required for configuration and administration of OS server, cloud development and its security and equip them with the skills required to protect and recover computer systems and networks from various security threats in dedicated or cloud environments. The course commences on March 3.

Entry qualification is M.Tech., B.Tech., MCA, M.Sc. or B.Sc. (IT, Computer Science or Electronics) degree or equivalent. The course fee is Rs. 59,000. Total seats: 25.

Apply before February 26. Selection is on the basis of marks obtained in the qualifying examination. for more info see here