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AISB opportunities Bulletin Item

PhD scholarships in Computer Science, Free Univ. of Bozen-Bolzano, ITALY

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 citys Italian name while Bozen is its German name: it is the capital of the 
multilingual province of Alto Adige / Sdtirol. Near Italys 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

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 


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.