PhD Scholarships in Computer Science at the Free Univ. of Bozen-Bolzano (Italy)

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PhD Scholarships in Computer Science at the Free Univ=2E of Bozen-Bolza=
no (Italy)=2E=0A<http=3A//www=2Eunibz=2Eit/EN/INF/PROGS/PHDCS/>=0A=0ATh=
e Free University of Bozen-Bolzano was founded in 1997 as a multilingua=
l (English=2C German=2C Italian) internationally oriented institution=2E=
 =0A=0AA public competition for the allocation of PhD positions in the =
Faculty of Computer Science will be opened on the 6th of May 2016=2C fo=
r 12 places=2C of which 9 places will be covered by grants (17=2C000=80=
 per year)=2E The deadline for submitting the application (admission/pr=
e-enrolment to the 32nd PhD cycle) via <http=3A//www=2Eunibz=2Eit/en/pu=
blic/research/phd/> is the 8th of June 2016=2E=0A=0APhD students are ex=
pected to work full-time on their research during the period of the PhD=
 studies=2C which lasts three years=2E An additional support is given t=
o spend a period of 6-12 months at an international research center=2E =
The official language of the programme is English=2C and it is expected=
 that students are able to write and speak fluently in English=2E =0A=0A=
The PhD study programme places an emphasis on research=2E PhD candidate=
s are strongly advised to look at the three areas (listed below) which =
are the focus of the research at the Faculty of Computer Science=2C and=
 to get in contact with their desired research area before applying=2E =
The Selection Committee ranks PhD students based on a comparative asses=
sment of the merits and qualifications of applicants=2C taking into acc=
ount also feedback from potential supervisors in the selected research =
area=2E=0A=0ARESEARCH AREAS=3A=0A=0A* KRDB - KNOWLEDGE AND DATA=0A=0ALo=
gic-based languages for knowledge representation=0AIntelligent access t=
o data=0ASemantic technologies=0AInformation integration=0AData-aware p=
rocess modelling=2C verification=2C and synthesis=0ABusiness process mo=
nitoring=2C mining=2C and conformance=0ATemporal aspects of data and kn=
owledge=0AExtending database technologies=0AVisual and verbal paradigms=
 for information modelling and exploration=0AReasoning with Uncertain a=
nd Imprecise Knowledge=0A=0AThe KRDB Research Centre for Knowledge and =
Data (web page=3A <http=3A//www=2Einf=2Eunibz=2Eit/krdb>) was founded i=
n 2002=2C and it currently comprises about 30 researchers=2C including =
PhD students=2E The research activity is focussed on two main areas=3A =
(1) intelligent data and information management=2C with emphasis on mod=
elling of data and on the challenges related to modelling and dealing w=
ith structured=2C complex=2C and big data=3B and (2) business processes=
 and data=2C with the aim of studying the entire process lifecycle incl=
uding the modelling of business processes and organisations=2E The KRDB=
 Centre is widely recognised as one of the internationally leading grou=
ps in knowledge representation research=2C with a synergy between found=
ational research and application-oriented research=2E KRDB contact pers=
on=3A Enrico Franconi <franconi=40inf=2Eunibz=2Eit>=2E=0A=0A* IDSE - IN=
FORMATION AND DATABASE SYSTEMS ENGINEERING =0A=0ASpatial and temporal d=
atabases=0AApproximation techniques in databases=0AQuery optimisation i=
n databases=0ACooperative interfaces for information access and filteri=
ng=0AData mining techniques for preference elicitation and recommendati=
on=0ACloud computing and big data=0AAgile development and human aspects=
 of software engineering=0ASoftware startups and lean startup methodolo=
gy=0ADesign based hardware engineering=0ATechnology enhanced learning=0A=
Interaction design=0A=0AThe research activities in the area of database=
 and information systems engineering focus on key aspects of applied co=
mputer science=2C including data warehousing and data mining=2C the int=
egration of heterogeneous and distributed databases=2C time-varying inf=
ormation=2C data models=2C and query processing=2E The research approac=
h is primarily constructive in its outset=2C and it includes substantia=
l experimental and analytical elements=2E The development activities co=
ver the design of data models and structures=2C and the development of =
algorithms=2C data structures=2C languages=2C and systems=2E The experi=
mental activities verify real world artefacts with the help of prototyp=
es and simulations=2E The analytic activities include the analysis of t=
he algorithmic complexity and the evaluation of languages=2E The main g=
oal is theoretically sound results that solve real world problems=2E =0A=
=0A* SERG - SOFTWARE ENGINEERING =0A=0AEmpirical software engineering=0A=
Mining software repositories=0ASoftware reliability and testing=0AAutom=
atic improvement and empirical investigation of software quality attrib=
utes =0ARecommendation systems in software engineering=0ASoftware syste=
m behaviour=0A=0AThe research topics in software engineering are focuse=
d on the empirical and quantitative study of innovative models for soft=
ware development=2E The target analysis techniques include both traditi=
onal statistics=2C and new approaches=2C such as computational intellig=
ence=2C Bayesian models=2C and meta-analytical systems=2E The innovativ=
e software development techniques include (a) methods based on lean man=
agement=2C such as agile methods=2C with a specific interest for benchm=
arking and identification of defects=2C and (b) open source development=
 models=2C with specific attention for self organising systems and the =
analysis of the resulting quality aspects=2E=0A

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<html><body bgcolor=3D=22FFFFFF=22><font face=3D=22Consolas=22 size=3D=22=
3=22 style=3D=22font-size=3A9pt=22>PhD Scholarships in Computer Science=
 at the Free Univ=2E of Bozen-Bolzano (Italy)=2E<br>=0A&lt=3Bhttp=3A//w=
ww=2Eunibz=2Eit/EN/INF/PROGS/PHDCS/&gt=3B<br>=0A<br>=0AThe Free Univers=
ity of Bozen-Bolzano was founded in 1997 as a multilingual (English=2C =
German=2C Italian) internationally oriented institution=2E <br>=0A<br>=0A=
A public competition for the allocation of PhD positions in the Faculty=
 of Computer Science will be opened on the 6th of May 2016=2C for 12 pl=
aces=2C of which 9 places will be covered by grants (17=2C000&#8364=3B =
per year)=2E The deadline for submitting the application (admission/pre=
-enrolment to the 32nd PhD cycle) via &lt=3Bhttp=3A//www=2Eunibz=2Eit/e=
n/public/research/phd/&gt=3B is the 8th of June 2016=2E<br>=0A<br>=0APh=
D students are expected to work full-time on their research during the =
period of the PhD studies=2C which lasts three years=2E An additional s=
upport is given to spend a period of 6-12 months at an international re=
search center=2E The official language of the programme is English=2C a=
nd it is expected that students are able to write and speak fluently in=
 English=2E <br>=0A<br>=0AThe PhD study programme places an emphasis on=
 research=2E PhD candidates are strongly advised to look at the three a=
reas (listed below) which are the focus of the research at the Faculty =
of Computer Science=2C and to get in contact with their desired researc=
h area before applying=2E The Selection Committee ranks PhD students ba=
sed on a comparative assessment of the merits and qualifications of app=
licants=2C taking into account also feedback from potential supervisors=
 in the selected research area=2E<br>=0A<br>=0ARESEARCH AREAS=3A<br>=0A=
<br>=0A* KRDB - KNOWLEDGE AND DATA<br>=0A<br>=0ALogic-based languages f=
or knowledge representation<br>=0AIntelligent access to data<br>=0ASema=
ntic technologies<br>=0AInformation integration<br>=0AData-aware proces=
s modelling=2C verification=2C and synthesis<br>=0ABusiness process mon=
itoring=2C mining=2C and conformance<br>=0ATemporal aspects of data and=
 knowledge<br>=0AExtending database technologies<br>=0AVisual and verba=
l paradigms for information modelling and exploration<br>=0AReasoning w=
ith Uncertain and Imprecise Knowledge<br>=0A<br>=0AThe KRDB Research Ce=
ntre for Knowledge and Data (web page=3A &lt=3Bhttp=3A//www=2Einf=2Euni=
bz=2Eit/krdb&gt=3B) was founded in 2002=2C and it currently comprises a=
bout 30 researchers=2C including PhD students=2E The research activity =
is focussed on two main areas=3A (1) intelligent data and information m=
anagement=2C with emphasis on modelling of data and on the challenges r=
elated to modelling and dealing with structured=2C complex=2C and big d=
ata=3B and (2) business processes and data=2C with the aim of studying =
the entire process lifecycle including the modelling of business proces=
ses and organisations=2E The KRDB Centre is widely recognised as one of=
 the internationally leading groups in knowledge representation researc=
h=2C with a synergy between foundational research and application-orien=
ted research=2E KRDB contact person=3A Enrico Franconi &lt=3Bfranconi=40=
inf=2Eunibz=2Eit&gt=3B=2E<br>=0A<br>=0A* IDSE - INFORMATION AND DATABAS=
E SYSTEMS ENGINEERING <br>=0A<br>=0ASpatial and temporal databases<br>=0A=
Approximation techniques in databases<br>=0AQuery optimisation in datab=
ases<br>=0ACooperative interfaces for information access and filtering<=
br>=0AData mining techniques for preference elicitation and recommendat=
ion<br>=0ACloud computing and big data<br>=0AAgile development and huma=
n aspects of software engineering<br>=0ASoftware startups and lean star=
tup methodology<br>=0ADesign based hardware engineering<br>=0ATechnolog=
y enhanced learning<br>=0AInteraction design<br>=0A<br>=0AThe research =
activities in the area of database and information systems engineering =
focus on key aspects of applied computer science=2C including data ware=
housing and data mining=2C the integration of heterogeneous and distrib=
uted databases=2C time-varying information=2C data models=2C and query =
processing=2E The research approach is primarily constructive in its ou=
tset=2C and it includes substantial experimental and analytical element=
s=2E The development activities cover the design of data models and str=
uctures=2C and the development of algorithms=2C data structures=2C lang=
uages=2C and systems=2E The experimental activities verify real world a=
rtefacts with the help of prototypes and simulations=2E The analytic ac=
tivities include the analysis of the algorithmic complexity and the eva=
luation of languages=2E The main goal is theoretically sound results th=
at solve real world problems=2E <br>=0A<br>=0A* SERG - SOFTWARE ENGINEE=
RING <br>=0A<br>=0AEmpirical software engineering<br>=0AMining software=
 repositories<br>=0ASoftware reliability and testing<br>=0AAutomatic im=
provement and empirical investigation of software quality attributes <b=
r>=0ARecommendation systems in software engineering<br>=0ASoftware syst=
em behaviour<br>=0A<br>=0AThe research topics in software engineering a=
re focused on the empirical and quantitative study of innovative models=
 for software development=2E The target analysis techniques include bot=
h traditional statistics=2C and new approaches=2C such as computational=
 intelligence=2C Bayesian models=2C and meta-analytical systems=2E The =
innovative software development techniques include (a) methods based on=
 lean management=2C such as agile methods=2C with a specific interest f=
or benchmarking and identification of defects=2C and (b) open source de=
velopment models=2C with specific attention for self organising systems=
 and the analysis of the resulting quality aspects=2E<br>=0A</font></bo=
dy></html>

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