Job: Postdoc + PhD positions for LivingKnowledge project

[Thierry Hamon]

Date: Fri, 17 Oct 2008 09:28:59 +0200 (CEST)
From: Fausto Giunchiglia <fausto at disi.unitn.it>
Message-ID: <49426.193.205.194.36.1224228539.squirrel at disi.unitn.it>
X-url: http://livingknowledge-project.eu/
X-url: http://www.disi.unitn.it/~fausto/
X-url: http://dit.unitn.it/~moschitt/
X-url: http://dit.unitn.it/~knowdive/
X-url: http://disi.unitn.it/welcome
X-url: http://portale.unitn.it/ateneo/
X-url: http://www.apt.trento.it/


Apologies for multiple postings
______

We are looking for a post-doctoral fellow interested in working as
part of the Living Knowledge project
(http://livingknowledge-project.eu/ ). A position for a top student
interested in pursuing a PhD as part of the same project is also
available.

The work will be developed under the supervision of Fausto Giunchiglia
(http://www.disi.unitn.it/~fausto/), with the co-supervision of
Alessandro Moschitti (http://dit.unitn.it/~moschitt/), as part of the
Knowdive Group (http://dit.unitn.it/~knowdive/), a large,
multicultural and multidisciplinary group, which is part of the
Department of Computer Science and Information Engineering (
http://disi.unitn.it/welcome ), University of Trento (
http://portale.unitn.it/ateneo/ ).

Key words describing the research area of interest are: Text
Categorization, Sentimental Classification, Information Extraction,
Relation Extraction (mining), Semantic Role Labeling, Text Mining,
Opinion Mining, Applied Machine Learning, Semantic Search

Skills and knowledge relevant to the project are (E: Essential, D:
Desirable):
• Design and Implementation of Machine Learning Models (E)
• Design and Implementation of Retrieval Systems (D)
• Experience with models and systems of Natural Language (E)
• Programming of major Languages: Java (E), C (D), C++ (D)
• Ability to use machine learning, natural language and retrieval
software e.g. SVMs, Charniak parser, Lucene, respectively, (E).

Knowledge of Italian is not needed.

The ideal candidate holds a PhD with top performance in fields related
to the areas mentioned above. (S)he should have a proven track record
of system design and development as well as in conducting original
research and in publishing results in top conferences and
journals. (S)he should be proactive, self-motivated, able to work
independently and in a team, and capable of running projects and
leading a small group of programmers and PhD students.
Project management experience will constitute a major plus (Trento is
the project coordinator).

The main activities and project responsibilities of the successful
candidate will be:

- Develop advanced fact extraction methods, also extending existing
  opinion extraction methods

- Develop novel text extraction techniques for supporting bias and
  diversity analysis

- Understand the evolution mechanism of facts, opinions, trends and
  knowledge structuring; develop advanced approaches and methods to
  deal with the various aspects of knowledge evolution.

- Enable users and applications to obtain an improved interpretation
  of past, current and future situations based on an enhanced
  understanding of knowledge and opinion evolution.

- Collaborating with the other partners of the consortium in the
  development of innovative methods for detecting and handling bias in
  text and cross-media sources.


The successful candidates will be expected to produce top level
research and to publish it in the major relevant venues. They will be
involved in the supervision of PhD students and in the creation of a
strong group in their research area.

The successful candidates will support the project coordinator in the
overall project management activities. These activities will include,
among other things: managing their work and that of the collaborators,
continuous monitoring and checking of the project results, producing
project deliverables, managing contacts and collaborations with the
project partners.

Salary: according to experience, but expected in the range 24KEuro –
36KEuro/ year **NET**.

Duration: 3 years plus possibly a few extra months, starting as soon
as possible, and ending with the end of the project.

How to Apply: send your CV, plus the names of three referees by
November 15th to: fausto at disi.unitn.it.
About us: The Department of Information Engineering and Computer
Science of the University of Trento is a leading and fast-growing
research institution, characterized by a young and international
faculty and a large, international student population.

About Trento: Trento (http://www.apt.trento.it/) is a small vibrant
city (around 100K people), with a beautifully preserved historic
center, situated in the middle of the Dolomites, consistently ranked
at the top for quality of life. Also thanks to it fortunate location,
Trento offers a wide variety of cultural and sports opportunities all
year around, as well as excellent food and wine.

Further information: Fausto Giunchiglia, fausto at disi.unitn.it

-------------------------------------------------------------------------
Message diffuse par la liste Langage Naturel <LN at cines.fr>
Informations, abonnement : http://www.atala.org/article.php3?id_article=48
English version       : 
Archives                 : http://listserv.linguistlist.org/archives/ln.html
                                http://liste.cines.fr/info/ln

La liste LN est parrainee par l'ATALA (Association pour le Traitement
Automatique des Langues)
Information et adhesion  : http://www.atala.org/
-------------------------------------------------------------------------