Job: Working with Watson, Postdoc positions available at TrentoRise (Italy)

Thierry Hamon thierry.hamon at UNIV-PARIS13.FR
Sat Jun 9 19:15:48 UTC 2012

Date: Wed, 6 Jun 2012 11:42:13 +0200
From: Alessandro Moschitti <moschitti at>
Message-Id: <07191D1A-7C2D-4C4F-8863-45F9DAFAC624 at>

Dear candidate,
have you been fascinated by the IBM Watson system's achievements?
Have you ever thought that you could contribute to it?
If yes, there might be two great opportunities for this.

TWO Post-doctoral positions for 1 year (with the possibility of
 extension) are available at the new IBM Language and Knowledge Center
 for Advanced Studies of TrentoRise - Italy (TrentoRise is a joint
 research institution including the University of Trento, FBK and other
 important research institutions of Trento)

Position 1: Information Extraction and Question Answering (Ref.Code

This grant aims at developing a framework for Information Extraction and
Retrieval based on deep linguistic analysis. The main idea of the
framework is to provide a flexible pipeline of NLP and IR components,
which can be used to model state-of-the-art systems, e.g., in the field
of Question Answering.

Candidate Profile: the candidate must hold a PhD in Computer Science,
e.g., Computational Linguistics, Natural Language Processing,
Information Retrieval or equivalent, and should be familiar with or
willing to learn the following topics:

- UIMA (Unstructured Information Management Architecture);
- Named Entity Recognition & Normalization / Concept Segmentation and
- Relation Extraction;
- Question interpretation, answer classification and extraction
- Dependency-based parsing, practice and theory
- Semantic role labeling
- Question analysis
- Search engine design
- Text Categorization/Filtering
- Document/passage ranking and re-ranking using different sources
- Indexing, search and retrieval for unstructured, semi-structured and
  structured data
- Retrieval models for Question Answering
- Relational models for sentence, paragraph and document representation

Programming skills are important whereas knowledge of the Italian
language is not required.

Scientific tutors:	Bernardo Magnini  (FBK, Trento -

			Alessandro Moschitti (University of Trento - -

Position 2: Machine Learning for NLP (Ref.Code IBM_PostDoc2012_LSM)

This grant aims at modeling and implementing a machine learning
framework, which can be applied for fast system prototyping. Kernel
methods are seen as a viable approach to automatic feature engineering,
which is a severe bottleneck for the design of real-world
applications. The other interesting problem that will be studied
concerns domain adaptation. Although the framework is supposed to be
general, its primary application domain will be natural language

Candidate Profile: the candidate must hold a PhD in Computer Science,
e.g., Machine Learning, Computational Linguistics, Natural Language
Processing, data mining or equivalent and should be familiar with most
of the following topics:

- Discriminative models, including Support Vector Machines and other
  Max-Margin approaches, for tagging, extraction, (shallow) parsing and
  so on.
- Advanced data representation through Kernel Methods and Kernel
- Online learning and Active Learning
- Supervised, Semi-Supervised, Unsupervised Learning, Domain Adaptation,
  Multi-task Learning in NLP
- Sequence labeling in NLP
- Relational Learning
- Graphical models, e.g., Conditional Random Fields and LDA, are a plus

Scientific tutor: Alessandro Moschitti (University of Trento - -

Prof. Moschitti has been collaborating with the IBM Watson team since
2009. He has received two awards from IBM. The postdocs (if successful
in their research) will have the possibility to collaborate with the IBM
Watson team and carrying out working stage at IBM Watson of NY.

You can directly apply to

If you want to know more, please send an email to 
moschitti at
subject: IBM-POSTDOCS2012
salary net per month: 2k euros

The deadline for applications is June 30, 2012
(please note that the deadline indicated in the website above is going
to be updated).

Your curriculum must show an appropriate record of publications in the
areas of ML, NLP/CL or IR.



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