3 PhD positions | DKM Group, FBK-IRST Trento
Martin Homola
homola at fmph.uniba.sk
Sa Mär 12 00:57:11 CET 2011
[[[ Apologies for multiple copies of this message ]]]
Three PhD Positions Available
Data and Knowledge Management Unit
Fondazione Bruno Kessler - IRST
Trento, Italy
Deadline: March 16th, 2011, 13:00 (GTM+1)
The Data and Knowledge Management (DKM) research unit (http://dkm.fbk.eu) of the Bruno Kessler Foundation (FBK), Trento, Italy, is seeking candidates for 3 Ph.D positions.
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.
The research activities will focus on following topics:
COMBINING ONTOLOGICAL AND PROCESS-BASED REASONING
[This position is jointly supervised by FBK and the ISTC-CNR, Laboratory for Applied Ontology, Trento.]
Semantic 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.
Skills required: good knowledge of logic and knowledge
representation; reasonable knowledge of software engineering and
conceptual modelling.
Contact person: Chiara Ghidini
MIXING LOGICAL AND STATISTICAL REASONING
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 The Ph.D will be developed
in collaboration with Telecom Italia
Contact person: Luciano Serafini
STRUCTURED DATA INDEXING AND RETRIEVAL
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.
Contact person: Luciano Serafini
Candidate Profile
=================
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.
The candidate should be able to work in a collaborative environment,
with a strong commitment to reaching research excellence and achieving
assigned objectives.
Applications and Inquiries
==========================
Interested candidates should inquire for further information and/or
apply by sending email to serafini<at>fbk.eu or ghidini<at>fbk.eu
Applications should contain a statement of interest, with a Curriculum
Vitae, and three reference persons. PDF format is strongly encouraged.
NOTE THAT AN APPLICATION THROUGH THE UNIVERSITY OF TRENTO WEBSITE IS REQUIRED.
See http://ict.unitn.it/application for more details.
THE DEADLINE FOR THE APPLICATION IS March 16th, 2011, 13:00 (GTM+1).
--
Martin Homola
Homepage: http://ii.fmph.uniba.sk/~homola/
PGP public key: http://ii.fmph.uniba.sk/~homola/publickey.asc
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