2 PhD Positions in LBS at University College Dublin, Ireland
The School of Computer Science and Informatics at University College Dublin
(http://www.csi.ucd.ie) has two open funded PhD positions in the areas
of geospatial
personalization and visualization for LBS under the supervision of Dr.
Michela Bertolotto.
The research relevant to the first position will focus on the
development of techniques to
ascertain users' spatial interests by implicitly monitoring their
interaction with a spatial
dataset via a mobile user interface. User interest models can be
built by analyzing this
information and used to generate personalized spatial datasets and
interfaces. The second
position relates to the use of visual techniques for effective
analysis of spatial data in LBS.
The scholarships are funded within an SFI (http://www.sfi.ie) awarded
Strategic Research
Cluster in Advanced Geotechnologies (http://www.StratAG.ie). The
Cluster is a consortium
of schools/departments from National University of Ireland Maynooth
(NUIM), Trinity College
Dublin (TCD), the Dublin Institute of Technology (DIT) and University
College Dublin (UCD).
Start date: June-September 2009. Each tax free scholarship amounts to
approximately €25K per annum
(less fees) for 3 years.
Interested candidates satisfying the requirements outlined below are
invited to send an up-to-date
CV and the names of two references, or any further enquiries, to
michela.bertolotto@ucd.ie.
Requirements:
•BSc (honours) or MSc in computer science or related discipline
•Proficiency in programming in at least two programming languages
•Fluency in English (both spoken and written)
•Very good interpersonal and communication skills
•Ability to organise and prioritise own work and organise research within
the project timetable
•Ability to present own research at International conferences
•Motivation to work in a rapidly evolving field
•Ability to work independently
•Ability to work in a team and to relate to a wide range of people
•Experience with spatial databases and application development on
mobile devices (desirable)
The School of Computer Science and Informatics at University College Dublin
(http://www.csi.ucd.ie) has two open funded PhD positions in the areas
of geospatial
personalization and visualization for LBS under the supervision of Dr.
Michela Bertolotto.
The research relevant to the first position will focus on the
development of techniques to
ascertain users' spatial interests by implicitly monitoring their
interaction with a spatial
dataset via a mobile user interface. User interest models can be
built by analyzing this
information and used to generate personalized spatial datasets and
interfaces. The second
position relates to the use of visual techniques for effective
analysis of spatial data in LBS.
The scholarships are funded within an SFI (http://www.sfi.ie) awarded
Strategic Research
Cluster in Advanced Geotechnologies (http://www.StratAG.ie). The
Cluster is a consortium
of schools/departments from National University of Ireland Maynooth
(NUIM), Trinity College
Dublin (TCD), the Dublin Institute of Technology (DIT) and University
College Dublin (UCD).
Start date: June-September 2009. Each tax free scholarship amounts to
approximately €25K per annum
(less fees) for 3 years.
Interested candidates satisfying the requirements outlined below are
invited to send an up-to-date
CV and the names of two references, or any further enquiries, to
michela.bertolotto@ucd.ie.
Requirements:
•BSc (honours) or MSc in computer science or related discipline
•Proficiency in programming in at least two programming languages
•Fluency in English (both spoken and written)
•Very good interpersonal and communication skills
•Ability to organise and prioritise own work and organise research within
the project timetable
•Ability to present own research at International conferences
•Motivation to work in a rapidly evolving field
•Ability to work independently
•Ability to work in a team and to relate to a wide range of people
•Experience with spatial databases and application development on
mobile devices (desirable)
