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

Thierry Hamon hamon at LIMSI.FR
Tue Jul 29 20:34:18 UTC 2014

Date: Mon, 28 Jul 2014 14:21:59 +0200
From: Enrico Franconi <franconi at>
Message-ID: <28072014142159861GGh77pfXqRRd0210 at>

The Free University of Bozen-Bolzano announces a public competition, by
qualifications, for admission to the PhD programme of the Faculty of
Computer Science, with the first 6 positions covered by scholarships
(17,000€ per year). In addition, the student will be financially
supported to attend conferences and schools, and to spend a period of
6-12 months abroad. The PhD programme lasts three years. The official
language of the programme and of the faculty is English.

Research in the Faculty of Computer Science is divided in three research
centres (see below). Candidates are strongly advised to get in contact
with the desired research centre before applying.

Bolzano is the city’s Italian name while Bozen is its German name: it is
the capital of the multilingual province of Alto Adige / Südtirol. Near
Italy’s northern border with Austria, the city is a gateway to the
Dolomites, the majestic white mountain peaks that are part of the
Alps. Bolzano is an Italian city with Austrian flair. Its two
lifestyles, one Northern European and the other more Mediterranean,
combine to make the perfect union, which can be clearly seen in the
historic and artistic treasures of this city. Bolzano is constantly
among the top-ranked cities in Italy when it comes to quality of
life. It has one of Europe's lowest unemployment rates, excellent
services and a wonderful landscape. The landscape of the surrounding
mountain sides is characterised by old wine hamlets and villages
nestling amid vineyards watched over by 200 castles, stately country
houses and ruins (see the wonderful video).

Instructions for application (pre-enrollment):
The deadline for the applications is the 29th August 2014.



- web page:
- contact person: Enrico Franconi franconi at

  - Logic based languages for knowledge representation
  - Intelligent access to databases
  - Semantic technologies
  - Visual and verbal paradigms for information exploration  
  - Temporal aspects of data and knowledge
  - Extending database technologies
  - Inter-operation, verification, and composition of business processes

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 modelling 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.


  - Spatial and temporal databases 
  - Approximation Techniques in databases
  - Query optimisation in databases
  - Cooperative interfaces for information access and filtering
  - Data mining techniques for preference elicitation and recommendation
  - Cloud computing and big data
  - Agile development & human aspects of software engineering
  - Software startups and open science
  - Design based Hardware engineering
  - Technology enhanced learning

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.

  - Agile methods, lean management, and open source
  - Measurement and study of software quality, reliability, evolution
    and reuse
  - Distributed computing and service-oriented architectures (mobile and
    distributes services)
  - IT and business alignment
  - Software reuse and component based development
  - Interoperability in collaborative systems
  - IT for automation
  - Energy-aware systems

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.

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