[Elsnet-list] Postdoc + PhD positions for LivingKnowledge project
fausto at disi.unitn.it
Thu Oct 16 12:35:22 CEST 2008
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:
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
Project management experience will constitute a major plus (Trento is the
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
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
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
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