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[ontolog-forum] 3 Ph. D position available in the Data and Knowledge Man

To: "[ontolog-forum]" <ontolog-forum@xxxxxxxxxxxxxxxx>
From: Luciano Serafini <serafini@xxxxxx>
Date: Fri, 4 Mar 2011 16:53:58 +0000
Message-id: <D82F0113-4B49-4E23-9DCC-44145C4AE59A@xxxxxx>

 [[[ Apologies for multiple copies of this message ]]]    (01)

     Three PhD Positions Available    (02)

   Data and Knowledge Management Unit
    Fondazione Bruno Kessler - IRST
     Trento, Italy    (03)

       Deadline:  March 16th, 2011, 13:00 (GTM+1)    (04)

 See http://ict.unitn.it/application for more details.    (05)

The Data and Knowledge Management (DKM) research unit 
(http://dkm.fbk.eu<http://dkm.fbk.eu/>) of the Bruno Kessler Foundation (FBK), 
Italy, is seeking candidates for 3 Ph.D positions.    (06)

The Ph.D. studies will be held at the International Doctorate School in 
Information and Communication Technologies
(http://www.ict.unitn.it/) of the University of Trento, Italy.    (07)

The research activities will focus on following topics:    (08)


[This position is jointly supervised by FBK and the ISTC-CNR, Laboratory for 
Applied Ontology, Trento.]  Semantic    (010)

Business Process Management has the main objective of improving the level of 
automation in the specification,
implementation, execution, and monitoring of business processes by extending 
business process management tools with the
most significant results from the area of Semantic Web. For instance, when the 
focus is on process modeling, i.e. the
activity of specification of business processes at an abstract level, 
annotating process descriptions with labels taken
from a set of domain ontologies can provide additional support to the phase of 
business analysis, or to the creation of
valid process diagrams, which not only comply with the basic requirements of 
the process semantics, but also satisfy
properties that take into account the domain specific semantics of the labels 
of the different process elements. The
ability to provide good Semantic Business Process Management services poses 
strong scientific challenges as it requires
an integrated usage of formalisms for the representation and execution of 
business processes together with those used to
represent ontologies and business domains, which traditionally have been 
developed and investigated in separate research
areas. The aim of this thesis is to investigate how we can combine logical 
formalisms for process and domain knowledge
to enhance the quality of Semantic Business Process Management. The thesis will 
investigate (i) the definition of new
theoretical paradigms as well as the extension of existing ones, (ii) the 
development of reasoning services on top of
these theoretical paradigms and (iii) the tailoring these reasoning services to 
scenarios taken from Business Process
Design and Service Provisioning, Integration and Composition.    (011)

Skills required: good knowledge of logic and knowledge representation; 
reasonable knowledge of software engineering and
conceptual modelling.    (012)

Contact person: Chiara Ghidini <ghidini@xxxxxx<mailto:ghidini@xxxxxx>>    (013)


Humans solve the problems of interpreting multimedia documentation by both 
exploiting structural regularities in the
data, as well as making use of common sense and specialized knowledge that 
explicitly represents the meaning of data. In
spite of this simple observation, current approaches to processing content over 
the Internet are based either on a
statistical approach, which exploits the regularities of the content encoded in 
a statistical model (using machine
learning methodologies), or, alternatively, by logical approaches, by 
exploiting logical knowledge encoded via logical
theories (semantic web and ontologies). In both cases this unilateral approach 
leads to a limitation in the performance
or in the quality of the results. We believe that combining statistical 
knowledge with logical knowledge in a unique
system would improve the efficiency and the effectiveness of content management 
applications. The Copilosk project at
FBK aims at investigating how statistical and logical knowledge can be combined 
and exploited in content and knowledge
management, by proposing or extending a theoretical paradigm, test it in three 
use cases in the area of machine
translation, knowledge extraction from text, and image object recognition, and 
in case of positive results applying it
to a real case scenario. For more information about the copilosk project please 
visit copilosk web site
http://copilosk.fbk.eu<http://copilosk.fbk.eu/>.  The Ph.D will be qdeveloped 
in collaboration with Telecom Italia    (015)

Contact person: Luciano Serafini serafini@xxxxxx<mailto:serafini@xxxxxx>    (016)


Topics of this grant are the ontological (i.e. formal) description and 
reasoning of knowledge according to standards
developed by the Semantic Web community combined with machine learning 
approaches such as graphical models or
regularization methods. Innovative research will be addressed for 
context-driven reasoning and indexing and will be
jointly carried out with existing multimedia analysis (e.g. image recognition, 
speech analysis, etc.) in some augmented
reality scenarios. This research will be developed in collaboration with 
Telecom Italia.    (018)

 Contact person: Luciano Serafini serafini@xxxxxx<mailto:serafini@xxxxxx>    (019)

Candidate Profile
=================    (020)

The ideal candidate should have an MS or equivalent degree in computer science, 
mathematics or electronic engineering, phisics and philosophy, and combine 
solid theoretical background and software development skills.    (021)

The candidate should be able to work in a collaborative environment, with a 
strong commitment to reaching research excellence and achieving assigned 
objectives.    (022)

Applications and Inquiries
==========================    (023)

Interested candidates should inquire for further information and/or apply by 
sending email to serafini<at>fbk.eu or ghidini<at>fbk.eu    (024)

Applications should contain a statement of interest, with a Curriculum Vitae, 
and three reference persons. PDF format is strongly encouraged.    (025)

See http://ict.unitn.it/application for more details.  THE DEADLINE FOR THE 
APPLICATION IS March 16th, 2011, 13:00 (GTM+1).    (026)

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