Netherland: PhD studentship in Web Search Technology - The Universiteit van Amsterdam
Netherland: PhD studentship in Web Search Technology - The Universiteit van Amsterdam
PhD position (trainee research assistant) Focused web search
The Universiteit van Amsterdam
Amsterdam, (The Netherlands), 38 hours per week
The Universiteit van Amsterdam
Job description
------------------------------
The ILLC seeks a versatile, highly motivated PhD candidate to work on
focused web search. This fully funded position is part of the EfFoRT
(Effective Focused Retrieval Techniques) project. EfFoRT is a joint
research
undertaking of the University of Amsterdam and the University of
Twente, and
is funded by the Netherlands Organization for Scientific Research
(NWO).
Tasks
The EfFoRT project will develop an approach for combining multiple
representations of web information in a common framework based on
statistical language models. In this framework, it will be possible to,
for
example, derive models of the actual language use of web pages to
distinguish between arts, business, entertainment, education, etc.
Similarly, it will be possible to derive models of the structure of web
pages to distinguish between blogs, FAQs, personal web pages, cultural
heritage pages, etc. The techniques to be developed will have to be
robust
to all kinds of errors, ranging from imperfect information extraction
techniques to imprecise queries formulated by the average web search
engine
user. An important aspect of any new technique in a web setting is that
they
have to scale up to terabyte-sized collections. EfFoRT will develop
so-called parsimonious models to derive compact representation and to
handle
dependencies between representations of the data.
Requirements
------------------------------
Required education/skills:University Graduate
Applicants must hold a research-oriented Master's degree (MSc/MA) or
equivalent qualification, and have a strong background or demonstrable
interest in:
• information retrieval, especially statistical language modelling
• web retrieval, especially web-centric retrieval models
• web mining, especially machine learning and
clustering/classification.
Solid programming skills are a requirement. Industrial experience, or a
track record of project-based work, is a definite advantage.
Job type: ENG_Onderzoek/ Advies
Workfield(s):
- Research trainees, non-tenured lecturers, researchers(Scientific
discipline: Engineering)
- Research trainees, non-tenured lecturers, researchers(Scientific
discipline: Language & Culture)
Organization
------------------------------
The Universiteit van Amsterdam
Conditions of employment
------------------------------
Employment basis: Temporary for specified period
Duration of the contract: for one year
Maximum hours per week: 38
Additional conditions of employment:
The appointment will be full time (38 hours a week) for a period of
four
years (one year plus a further three years after a positive evaluation)
and
should lead to a dissertation.
Additional Information
------------------------------
Or additional information can be obtained through one of the following
links:
- About the
function(
http://www.uva.nl/vacatures/object.cfm/objectid=0479D03C-7592-48BB-9C85210622D70177
)
Application
------------------------------
You can apply for this job before 10-10-2006 (dd-mm-yyyy) by sending
your
application to:
*E-mail:
kamps@uva.nl
When applying for this job always mention the vacancy number AT
06-3051.*
-------------------------------------------------
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PhD position (trainee research assistant) Focused web search
The Universiteit van Amsterdam
Amsterdam, (The Netherlands), 38 hours per week
The Universiteit van Amsterdam
Job description
------------------------------
The ILLC seeks a versatile, highly motivated PhD candidate to work on
focused web search. This fully funded position is part of the EfFoRT
(Effective Focused Retrieval Techniques) project. EfFoRT is a joint
research
undertaking of the University of Amsterdam and the University of
Twente, and
is funded by the Netherlands Organization for Scientific Research
(NWO).
Tasks
The EfFoRT project will develop an approach for combining multiple
representations of web information in a common framework based on
statistical language models. In this framework, it will be possible to,
for
example, derive models of the actual language use of web pages to
distinguish between arts, business, entertainment, education, etc.
Similarly, it will be possible to derive models of the structure of web
pages to distinguish between blogs, FAQs, personal web pages, cultural
heritage pages, etc. The techniques to be developed will have to be
robust
to all kinds of errors, ranging from imperfect information extraction
techniques to imprecise queries formulated by the average web search
engine
user. An important aspect of any new technique in a web setting is that
they
have to scale up to terabyte-sized collections. EfFoRT will develop
so-called parsimonious models to derive compact representation and to
handle
dependencies between representations of the data.
Requirements
------------------------------
Required education/skills:University Graduate
Applicants must hold a research-oriented Master's degree (MSc/MA) or
equivalent qualification, and have a strong background or demonstrable
interest in:
• information retrieval, especially statistical language modelling
• web retrieval, especially web-centric retrieval models
• web mining, especially machine learning and
clustering/classification.
Solid programming skills are a requirement. Industrial experience, or a
track record of project-based work, is a definite advantage.
Job type: ENG_Onderzoek/ Advies
Workfield(s):
- Research trainees, non-tenured lecturers, researchers(Scientific
discipline: Engineering)
- Research trainees, non-tenured lecturers, researchers(Scientific
discipline: Language & Culture)
Organization
------------------------------
The Universiteit van Amsterdam
Conditions of employment
------------------------------
Employment basis: Temporary for specified period
Duration of the contract: for one year
Maximum hours per week: 38
Additional conditions of employment:
The appointment will be full time (38 hours a week) for a period of
four
years (one year plus a further three years after a positive evaluation)
and
should lead to a dissertation.
Additional Information
------------------------------
Or additional information can be obtained through one of the following
links:
- About the
function
http://www.uva.nl/vacatures/object.cfm/objectid=0479D03C-7592-48BB-9C85210622D70177
)
Application
------------------------------
You can apply for this job before 10-10-2006 (dd-mm-yyyy) by sending
your
application to:
*E-mail:
kamps@uva.nl
When applying for this job always mention the vacancy number AT
06-3051.*
-------------------------------------------------
Study Abroad Scholarships Scholarships Unusual Scholarships College Scholarship Scholarship Finder Easy Scholarships News
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