PhD Scholarships in Computer Science in Bozen-Bolzano (Italy) - DEADLINE 8 JUNE.

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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 12 PhD positions in t=
he Faculty of Computer Science is open=2C and 9 of these positions will=
 be covered by grants (17=2C000=80 per year)=2E The deadline for submit=
ting the application (admission/pre-enrolment to the 32nd PhD cycle) vi=
a <http=3A//www=2Eunibz=2Eit/en/public/research/phd/> is the 8th of Jun=
e 2016=2E=0A=0APhD students are expected to work full-time on their res=
earch during the period of the PhD studies=2C which lasts three years=2E=
 An additional support is given to 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 s=
peak fluently in English=2E =0A=0AThe PhD study programme places an emp=
hasis on research=2E PhD candidates 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 stu=
dents based on a comparative assessment of the merits and qualification=
s of applicants=2C taking into account also feedback from potential sup=
ervisors in the selected research area=2E=0A=0ARESEARCH AREAS=3A=0A=0A*=
 KRDB - KNOWLEDGE AND DATA=0A=0ALogic-based languages for knowledge rep=
resentation=0AIntelligent access to data=0ASemantic technologies=0AInfo=
rmation integration=0AData-aware process modelling=2C verification=2C a=
nd synthesis=0ABusiness process monitoring=2C mining=2C and conformance=
=0ATemporal aspects of data and knowledge=0AExtending database technolo=
gies=0AVisual and verbal paradigms for information modelling and explor=
ation=0AReasoning with Uncertain and Imprecise Knowledge=0A=0AThe KRDB =
Research Centre for Knowledge and Data (web page=3A <http=3A//www=2Einf=
=2Eunibz=2Eit/krdb>) was founded in 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 modelling of data and on the challenges =
related to modelling and dealing with structured=2C complex=2C and big =
data=3B and (2) business processes and data=2C with the aim of studying=
 the entire process lifecycle including the modelling of business proce=
sses and organisations=2E The KRDB Centre is widely recognised as one o=
f the internationally leading groups in knowledge representation resear=
ch=2C with a synergy between foundational research and application-orie=
nted research=2E KRDB contact person=3A Enrico Franconi <franconi=40inf=
=2Eunibz=2Eit>=2E=0A=0A* IDSE - INFORMATION AND DATABASE SYSTEMS ENGINE=
ERING =0A=0ASpatial and temporal databases=0AApproximation techniques i=
n databases=0AQuery optimisation in databases=0ACooperative interfaces =
for information access and filtering=0AData mining techniques for prefe=
rence elicitation and recommendation=0ACloud computing and big data=0AA=
gile development and human aspects of software engineering=0ASoftware s=
tartups and lean startup methodology=0ADesign based hardware engineerin=
g=0ATechnology enhanced learning=0AInteraction design=0A=0AThe research=
 activities in the area of database and information systems engineering=
 focus on key aspects of applied computer science=2C including data war=
ehousing and data mining=2C the integration of heterogeneous and distri=
buted databases=2C time-varying information=2C data models=2C and query=
 processing=2E The research approach is primarily constructive in its o=
utset=2C and it includes substantial experimental and analytical elemen=
ts=2E The development activities cover the design of data models and st=
ructures=2C and the development of algorithms=2C data structures=2C lan=
guages=2C and systems=2E The experimental activities verify real world =
artefacts with the help of prototypes and simulations=2E The analytic a=
ctivities include the analysis of the algorithmic complexity and the ev=
aluation of languages=2E The main goal is theoretically sound results t=
hat solve real world problems=2E =0A=0A* SERG - SOFTWARE ENGINEERING =0A=
=0AEmpirical software engineering=0AMining software repositories=0ASoft=
ware reliability and testing=0AAutomatic improvement and empirical inve=
stigation of software quality attributes =0ARecommendation systems in s=
oftware engineering=0ASoftware system behaviour=0A=0AThe research topic=
s in software engineering are focused on the empirical and quantitative=
 study of innovative models for software development=2E The target anal=
ysis techniques include both traditional statistics=2C and new approach=
es=2C such as computational intelligence=2C Bayesian models=2C and meta=
-analytical systems=2E The innovative software development techniques i=
nclude (a) methods based on lean management=2C such as agile methods=2C=
 with a specific interest for benchmarking and identification of defect=
s=2C and (b) open source development models=2C with specific attention =
for self organising systems and the analysis of the resulting quality a=
spects=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 12 PhD positions in the Facu=
lty of Computer Science is open=2C and 9 of these positions will be cov=
ered by grants (17=2C000&#8364=3B per year)=2E The deadline for submitt=
ing the application (admission/pre-enrolment to the 32nd PhD cycle) via=
 &lt=3Bhttp=3A//www=2Eunibz=2Eit/en/public/research/phd/&gt=3B is the 8=
th of June 2016=2E<br>=0A<br>=0APhD students are expected to work full-=
time on their research during the period of the PhD studies=2C which la=
sts three years=2E An additional support is given to spend a period of =
6-12 months at an international research center=2E The official languag=
e of the programme is English=2C and it is expected that students are a=
ble to write and speak fluently in English=2E <br>=0A<br>=0AThe PhD stu=
dy programme places an emphasis on research=2E PhD candidates are stron=
gly advised to look at the three areas (listed below) which are the foc=
us of the research at the Faculty of Computer Science=2C and to get in =
contact with their desired research area before applying=2E The Selecti=
on Committee ranks PhD students based on a comparative assessment of th=
e merits and qualifications of applicants=2C taking into account also f=
eedback 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 for knowledge representation<br>=0AInt=
elligent access to data<br>=0ASemantic technologies<br>=0AInformation i=
ntegration<br>=0AData-aware process modelling=2C verification=2C and sy=
nthesis<br>=0ABusiness process monitoring=2C mining=2C and conformance<=
br>=0ATemporal aspects of data and knowledge<br>=0AExtending database t=
echnologies<br>=0AVisual and verbal paradigms for information modelling=
 and exploration<br>=0AReasoning with Uncertain and Imprecise Knowledge=
<br>=0A<br>=0AThe KRDB Research Centre for Knowledge and Data (web page=
=3A &lt=3Bhttp=3A//www=2Einf=2Eunibz=2Eit/krdb&gt=3B) was founded in 20=
02=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 modelli=
ng of data and on the challenges related to modelling and dealing with =
structured=2C complex=2C and big data=3B and (2) business processes and=
 data=2C with the aim of studying the entire process lifecycle includin=
g the modelling of business processes and organisations=2E The KRDB Cen=
tre is widely recognised as one of the internationally leading groups i=
n knowledge representation research=2C with a synergy between foundatio=
nal research and application-oriented research=2E KRDB contact person=3A=
 Enrico Franconi &lt=3Bfranconi=40inf=2Eunibz=2Eit&gt=3B=2E<br>=0A<br>=0A=
* IDSE - INFORMATION AND DATABASE SYSTEMS ENGINEERING <br>=0A<br>=0ASpa=
tial and temporal databases<br>=0AApproximation techniques in databases=
<br>=0AQuery optimisation in databases<br>=0ACooperative interfaces for=
 information access and filtering<br>=0AData mining techniques for pref=
erence elicitation and recommendation<br>=0ACloud computing and big dat=
a<br>=0AAgile development and human aspects of software engineering<br>=
=0ASoftware startups and lean startup methodology<br>=0ADesign based ha=
rdware engineering<br>=0ATechnology enhanced learning<br>=0AInteraction=
 design<br>=0A<br>=0AThe research activities in the area of database an=
d information systems engineering focus on key aspects of applied compu=
ter science=2C including data warehousing and data mining=2C the integr=
ation of heterogeneous and distributed databases=2C time-varying inform=
ation=2C data models=2C and query processing=2E The research approach i=
s primarily constructive in its outset=2C and it includes substantial e=
xperimental and analytical elements=2E The development activities cover=
 the design of data models and structures=2C and the development of alg=
orithms=2C data structures=2C languages=2C and systems=2E The experimen=
tal activities verify real world artefacts with the help of prototypes =
and simulations=2E The analytic activities include the analysis of the =
algorithmic complexity and the evaluation of languages=2E The main goal=
 is theoretically sound results that solve real world problems=2E <br>=0A=
<br>=0A* SERG - SOFTWARE ENGINEERING <br>=0A<br>=0AEmpirical software e=
ngineering<br>=0AMining software repositories<br>=0ASoftware reliabilit=
y and testing<br>=0AAutomatic improvement and empirical investigation o=
f software quality attributes <br>=0ARecommendation systems in software=
 engineering<br>=0ASoftware system behaviour<br>=0A<br>=0AThe research =
topics in software engineering are focused on the empirical and quantit=
ative study of innovative models for software development=2E The target=
 analysis techniques include both traditional statistics=2C and new app=
roaches=2C such as computational intelligence=2C Bayesian models=2C and=
 meta-analytical systems=2E The innovative software development techniq=
ues include (a) methods based on lean management=2C such as agile metho=
ds=2C with a specific interest for benchmarking and identification of d=
efects=2C and (b) open source development models=2C with specific atten=
tion for self organising systems and the analysis of the resulting qual=
ity aspects=2E<br>=0A</font></body></html>

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