Sujet de these: PhD Programme in Computer Science at the Free University of Bozen-Bolzano (Italy) - scholarships

[Thierry Hamon]

Date: Tue, 27 Aug 2013 11:36:01 +1000
From: Enrico Franconi <franconi at inf.unibz.it>
Message-ID: <3ADA7244-9620-4E1F-8BFD-E8C818F82C9C at inf.unibz.it>
X-url: http://www.unibz.it/en/inf/progs/phdcs

PhD Programme in Computer Science  at the Free University of Bozen-Bolzano

The Free University of Bozen-Bolzano was founded in 1997 as a
multilingual, internationally oriented institution.

A public competition for the allocation of PhD positions in the Faculty
of Computer Science is announced, for 10 places, of which 6 places will
be covered by grants. The PhD Programme lasts three years and the
official language of the programme is English.

PhD students are expected to work full-time on their research. During
the PhD, it is advisable to spend a period of 6-12 months at a national
or international research center.

Candidates are strongly advised to contact their desired research
centers at the Faculty of Computer Science before applying. This way,
they can obtain a clear idea of the specific research carried out at the
Faculty. It is expected that students are able to write and speak
fluently in English.

The Selection Committee selects PhD students based on a comparative
assessment of the qualification of applicants, taking into account also
feedback from potential supervisors, especially those who have grants
available to support the PhD students, and determines the winners based
on the merits of each candidate. The Selection Committee also selects
those candidates who are qualified to start a PhD program at the Free
University of Bozen/Bolzano, but who cannot be admitted for lack of
space. Should a selected winner not accept the position, such candidates
will be next in line for the position.

Instructions for application (pre-enrollment) can be found here:

http://www.unibz.it/en/inf/progs/phdcs

The application must be complete by 13 September 2013, 12:00 a.m.


Research Areas

Research in the Faculty of Computer Science is focused on three areas
that are treated on a long-term basis by research groups whose members
collectively examine topics related to each of the three research
areas. The research areas, with a selection of their research topics,
are:

Knowledge Representation and Databases
- web page: http://www.inf.unibz.it/krdb/
- contact person: Alessandro Artale artale at inf.unibz.it
Logic based languages for knowledge representation
Intelligent database access
Foundations of controlled natural language
Temporal aspects of data and knowledge representation
Extending database technologies

The research topics in knowledge representation are focused on
foundational and practical aspects of knowledge representation
technologies applied to information systems. The whole life cycle
ranging from the design to the deployment of such technologies is
covered: the conceptual modeling of various types of knowledge, the
linguistic and logical aspects of knowledge, the integration of
heterogeneous knowledge sources, including information coming from the
Internet, the usage of knowledge to support the intelligent retrieval of
information, and the usage of knowledge to create virtual services on
the net. 


Databases and Information Systems 
Management and analysis of large data sets
Temporal data models and databases
Data evolution and integration
Approximation techniques for large databases
Machine learning techniques for searching and selecting information

The research activities in the area of database and information systems
focus on key aspects of applied computer science, including data
warehousing and data mining, the integration of heterogeneous and
distributed databases, time-varying information, data models, and query
processing. The research approach is primarily constructive in its
outset, and it includes substantial experimental and analytical
elements. The development activities cover the design of data models and
structures, and the development of algorithms, data structures,
languages, and systems. The experimental activities verify real world
artifacts with the help of prototypes and simulations. The analytic
activities include the analysis of the algorithmic complexity and the
evaluation of languages. The main goal is theoretically sound results
that solve real world problems.

Software Engineering 
Agile methodologies, lean management, and open source
Measurement and assurance of software quality, reliability and
development
Distributed computing and distributed service-oriented architectures
Information technology and business alignment
Component-based development and reuse of software
Cooperative systems and interoperability of software

The research topics in software engineering are focused on the empirical
and quantitative study of innovative models for software
development. The target analysis techniques include both traditional
statistics, and new approaches, such as computational intelligence,
Bayesian models, and meta-analytical systems. The innovative software
development techniques include (a) methods based on lean management,
such as agile methods, with a specific interest for benchmarking and
identification of defects, and (b) open source development models, with
specific attention for self organizing systems and the analysis of the
resulting qualit

The doctoral works treat topics from the three research areas that
develop from the ongoing work of the groups.

The following list contains possible topics for doctoral work: 
Data-centric business processes
Data Quality for Linked Open Data
Process-Aware Business Intelligence
Management of Business Processes and Data
Graph-structured Data Management
Knowledge driven information access
Databases and Ontologies
Game-based technology-enhanced learning
Semantic interoperability in distributed environments
Query processing in Ontology-based systems
Knowledge discovery in bioinformatics
Efficient querying of data under temporal constraints
Conceptual modeling and reasoning with temporal information
Optimizing a sequence of recommendations
Lifestyle change enforcement and support
Analysis and similarity search in time series data
Efficient OLAP over very large temporal datasets
Extending Database Systems with Similarity Operators
Robust query optimization for database management systems 
Itinerary planning for tourist applications
Methodologies in Computer Science Education
Software Measurement
Agile and lean software development methods
Innovation in software business
Software estimating and performance measurement
Mobile Software Engineering 
Software measurement of open source systems           
Software Reliability
Internet-based Software Engineering
Energy-aware software systems
Open source Software Engineering

Doctoral candidates can furthermore specify their own topics together
with their designated supervisor, as long as they remain related to the
research areas outlined above. 

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