Postdoctoral position in Text Analysis (University of Pisa, Italy)

The research will be conducted as part of an undergoing project on semantic tagging of Wikipedia, in cooperation with Yahoo! Research and the Institute of Computational Linguistics of the CNR (http://medialab.di.unipi.it/wiki/index.php/ Analisi di testi per il Semantic Web e il Question Answering).

The research will be conducted at the Department of Informatics with an opportunity to spend periods at Yahoo! Research Barcelona.

The successful candidates will have a strong background in computer science and knowledge of statistical machine learning techniques, with emphasis on text and natural language analysis. They are expected to provide leadership on technical issues and well as to contribute to the development of object oriented high performance applications.

Skills and Experience

• A background in Computer Science with specialization in Computational Linguistics or Natural Language Processing
  
• Expertise in text mining or information retrieval
  
• Thorough understanding of software development methodologies
  
• Excellent programming skills in C++ and Python
  
• Expert-level understanding of statistical machine learning techniques as applied to text analytics, e.g., information extraction, summarization, classification, clustering, tone/sentiment analysis, relevance ranking
  

Education

PhD in Computer Science, Computational Linguistics or equivalent.

Application

The details of the call are available at: http://medialab.di.unipi.it/Announcement/BandoAssegno.pdf

Closing date for application is January 12, 2009.

General information about the Department of Informatics can be found at http://www.di.unipi.it.

Liaison Manager: National Centre for Text Mining and Biomedical ResearchCentre, University of Manchester

The Biomedical Research Centre and the National Centre for Text Mining (www.nactem.ac.uk) seek to appoint a liaison manager to support their research and commercialisation activities; to establish, maintain and develop strategic links with industry and tool/resource suppliers; and to contribute substantially to ensuring the sustainability of both centres.The post is available with immediate effect for 2 years in the first instance.

The National Centre for Text Mining forms part of the School of Computer Science at the University of Manchester. Its role is to provide text mining services to the academic community and to engage with industry. The successful candidate will provide industrial and research support for a strong and dynamic team in text mining, liaising between the Biomedical Research Centre and the National Centre for Text Mining activities.

Closing date for applications: 10/01/2009

Further details are available at:
http://www.manchester.ac.uk/aboutus/jobs/research/vacancy/index.htm?ref=144704

Please quote reference: EPS/81303

Informal enquiries should be made to sophia.ananiadou@manchester.ac.uk

2 research assistants for TextMining in Geneva, Switzerland

University of Applied Science Geneva & University Hospitals of Geneva, Switzerland

The Geneva Text Mining and Bibliomics group is looking for two talented research assistants. Positions are funded for at least three years and should be fulfilled asap. Candidates should have the following qualifications:

• a strong academic record in computer science, computational linguistics, information science, bioinformatics or chemoinformatics;
• a clear interest in practical applications and service delivery to end-users;
• a solid background in at least one of the following areas: information retrieval, machine learning, ontology engineering, bibliometrics;
• a clear aptitude for independent and creative research as evidenced byan excellent master or phd thesis - possibility to participate in a PhD program will be offered;
• good communication skills in English and optionally in French - or at least a clear indication of willingness to learn the latter;
• the following items would be an asset: previous experience with patent document processing; familiarity with biochemistry, medicinal chemistry, toxicology, adverse effect signaling or drug design.

Please send your curriculum vitae, academic transcript, and contact information to patrick.ruch[at]sim.hcuge.ch

Two Software Engineers, National Centre for Text Mining

Two Software Engineers, National Centre for Text Mining, School of Computer Science, University of Manchester, UK

We seek two (2) software engineers to enhance our team expertise particularly in the areas of large-scale bibliometric applications, visualization and user interfaces. Emphasis is on development of software components and integration of these with our text mining tools and services, in a context where users wish to view and interact with results from the processing of large amounts of full text documents. Candidates should thus have expertise in developing scalable solutions for huge amounts of data.

The successful candidates will be part of a strong and dynamic team in bio-text mining located at the National Centre for Text Mining which is hosted by the School of Computer Science and the Manchester Interdisciplinary Biocentre.

The posts are available immediately for a period of 28 months.

Essential skills: A good first degree and an MSc, both in Computer Science or closely related discipline; several years of large scale software development in the requested areas (bibliometrics and/or information retrieval and/or visualisation); proven track record in full software development lifecycle; experience with Service Oriented Architectures ; excellent knowledge of Lucene, C, C++, Java, XML, PHP, databases, Windows, Linux, Web programming and Web Services; expertise in modern software development tools, techniques and processes.

Closing date for applications: 11/12/08

Further details are available at: http://www.manchester.ac.uk/aboutus/jobs/technical/vacancy/index.htm?ref=145803

Please quote reference: EPS/81364

Informal enquiries should be made to Dr Sophia Ananiadou, Sophia.Ananiadou@manchester.ac.uk

text mining position at the National Centre for TextMining in collaboration with Pfizer

Research position at the National Centre for Text Mining (www.nactem.ac.uk) in collaboration with Pfizer

School of Computer Science, University of Manchester

Applications are invited for a Research Associate in biotext mining for a period of 12 months. The post is available from 1st April 2008. The candidate will work within a project funded by Pfizer. The overall aim of the project is to develop named entity recognisers for biotext mining applications. The project will extend and customise NaCTeM's tools and services such as TerMine and AcroMine, to support text mining research at Pfizer. The successful candidate will be part of a strong and dynamic team in biotext mining, and will work closely with the co-located team of the National Centre for Text Mining (www.nactem.ac.uk) which is hosted by the School of Computer Science.

Applicants should have a good relevant first degree (minimum 2:1), an MSc in Computer Science, and preferably a PhD in a text mining area. They should not be still studying for a degree. They should have excellent software engineering skills; have the ability to develop algorithms and software for NLP/TM systems; the ability to produce experiments for biotext mining applications using large data sets; excellent knowledge of text mining using machine learning techniques and in particular named entity recognition, disambiguation, information extraction for biomedical applications; excellent knowledge of C, C++, Java, XML, Windows, Linux and Web Services. A good publication record would be an advantage. Successful candidates should ideally have research project experience in the areas of biomedical named entity recognition and disambiguation.

For more information see the following website:
http://www.staffnet.manchester.ac.uk/employment/jobs/research/vacancy/index.htm?ref=131689

Closing date for applications: 27th February 2008

Informal enquiries should be made to Dr Sophia Ananiadou.

Please quote reference: EPS/80057

Postdoctoral or Research Fellow in Biomedical Text Mining

Postdoctoral or Research Fellow in Biomedical Text Mining
Faculty of Medicine CENTRE FOR HEALTH INFORMATICS
http://www.chi.unsw.edu.au
UNSW Sydney Australia

We are seeking to appoint a highly motivated and experienced researcher, as a postdoctoral or research fellow in the Centre for Health Informatics, with a background in computational linguistics, computer science or a related area to develop and evaluate advanced text mining techniques and apply them in knowledge management applications in the biomedical domain.

The Centre for Health Informatics is Australia's largest academic health informatics research group conducting fundamental and applied research focusing on the design, evaluation and application of decision-support technologies for healthcare and the biosciences. The Centre is located at the University of New South Wales and collaborates with researchers in computer science, health services research and with industry and the public and private sectors.

This position offers an outstanding opportunity to work in a unique multi-disciplinary research environment encompassing information, communication, cognitive and organisational science to support health service and biomedical innovation.

Requirements for the position are:

• A PhD in Computational Linguistics, Artificial Intelligence, Computer Science or a related area.
• A track record of publication in the peer reviewed literature.
• Skills in one or more of the following areas: text mining, information extraction, named entity and relation extraction, computational lexicon development, text categorization, automatic text
• summarization, information retrieval.
• Preferably a strong track record and experience in statistical machine learning approaches to natural language processing.
• Excellent programming skills (Java/Python/Perl/C++).
• Knowledge of research experimental methods; ability to develop, implement prototypes and validate algorithms.
• Good oral and written communication skills; ability to produce oral presentations and written
• technical reports of publishable quality.
• Demonstrated skills in working in a team and desire to coach junior researchers and students.

The position is for two years full time with the possibility of extension depending on further funding. This opportunity offers much flexibility in supporting individual career development, including the commencement of new initiatives. A part-time appointment may be considered.

FIXED TERM: This is a fixed term position available until June 2009. The salary range is: Postdoctoral Fellow (Level A) $50,014 - $66,686; Research Fellow - Level B $70,028 - $82,554 (plus up to 9% employer superannuation plus leave loading), depending on qualifications and experience. The salary includes a superable UNSW academic loading of $3,000 per annum payable to academic staff (pro rata for fractional academic staff). A part-time appointment may be considered..

Please direct any enquiries to Dr Grace Chung on 02 9385 9016 or by e-mail on graceyc@unsw.edu.au.

Applications close 29 February 2008.

Senior Researcher in Bio-text Mining

Senior Researcher in Bio-text Mining

National Centre for Text Mining (NaCTeM)
School of Computer Science
University of Manchester, UK

We are looking for one senior researcher in text mining to work for a new project at NaCTeM (www.nactem.ac.uk) in text mining for systems biology (ONDEX project http://ondex.sourceforge.net/ ). The post is available immediately and for a duration of three years. The successful candidate will be appointed at Research Fellow level (salary £33,779 - £41,545 p.a) and will be part of the growing team of researchers associated with NaCTeM which is hosted by the School of Computer Science.

Essential skills: a good first degree and a PhD in an area relevant to text mining as well as excellent software engineering skills. The ability to develop algorithms and software for NLP/TM systems and to produce experiments for text mining applications using large data sets. Excellent knowledge of natural language processing/text mining using machine learning techniques and in particular named entity recognition, parsing, information extraction; excellent knowledge of C, C++, Java, XML, Windows, Linux and Web Services. A strong publication record is a must. Experience with biomedical text mining would be an advantage.

Informal enquiries should be made to Dr Sophia Ananiadou, Sophia.Ananiadou[at]manchester.ac.uk

Closing date for applications: 8th February 2008

Further details are available at: http://www.manchester.ac.uk/aboutus/jobs/research/vacancy/index.htm?ref=130141

Please quote reference: EPS/80023

Tenure junior research position for 2008

Tenure junior research position for 2008
http://www.limsi.fr/tlp/postes07.html
[Application deadline 09-JAN-08 23:59 Paris time]

CR2 position 48/03 in section 48 (Communication sciences) Information systems, multimedia and multilingual documents, knowledge industry.

Job description

The candidate will conduct research in the field of information processing with application to multimedia and multilingual documents. The main research direction will be the development of models and algorithms for automatic structuring, indexing, enrichment and extraction of knowledge from speech data in a multilingual context. It is envisioned that the models studied will be based on the joint use of linguistic knowledge and statistical learning methods applied to very large corpora. The candidate should have an expertise in at least one of following areas: spoken language processing, statistical based machine translation, and audio data mining. This
research will contribute to the development of emerging technologies for knowledge engineering and information access. A variety of new applications can be foreseen related to audiovisual archives, digital libraries, the production of multimedia documents, and more generally systems to organize and access multimedia and multilingual content, especially on the Internet.

Other related research positions are also listed on http://www.limsi.fr/tlp/postes07.html

Text Mining Postdocs in Australia

We have three open positions for three-year postdoc positions on an exciting
text mining project at Macquarie University in Sydney.

The project is funded by the Capital Markets Cooperative Research Centre,
which recently received a renewal of its funding from the Australian
Government. The aim of the project is to build a sophisticated platform for
exhaustive extraction from large text collections.

Closing date for applications is JANUARY 21ST 2008. Applications must be
made online via the Macquarie University website at
http://www.hr.mq.edu.au/, where you can also find out more about the
positions: search for position 19478 via the 'Positions Vacant' link.

Informal enquiries can be made to Robert Dale at rdale@ics.mq.edu.au.