Informasi Beasiswa

available at the Department of Informatics, University of Oslo.

The position has a duration of 4 years with 25% compulsory work (teaching).

The position belongs to the Research Group in Logic and Natural Languages (LNS) at the Department of Informatics, University of Oslo.  For background on the research environment, please see http://www.ifi.uio.no/forskning/grupper/lns/ and http://www.emmtee.net.  LNS has a focal area in computationally intensive language technology, specifically the application of hybrid, semantic parsing technology to large document collections.  The group collaborates closely with the Center for the Study of Language and Information (CSLI) at Stanford University (see http://lingo.stanford.edu) and the international Deep Linguistic Processing with HPSG Initiative (DELPH-IN; see http://www.delph-in.net).  The general research direction of this position is the application of HPSG parsing to WikipediA articles, aiming for accurate and efficient semantic analysis of large bodies of text.  This position will have its focus on English data.  Specific aspects of the PhD project may include (a) high-efficiency hybrid parsing approaches, including distribution over a kilo-node HPC cluster; (b) near-deterministic, incremental parsing with large-scale HPSG implementations; and (c) the integration of linguistic constraints and stochastic processes to better balance processing robustness, accuracy, and efficiency.

The position is open to candidates from either grammar-driven or data-driven backgrounds.  A basic understanding of the foundations of natural language processing (NLP) is a prerequisite.  Additionally, experience in the following areas will be a benefit:

·        constraint-based grammar and unification-based parsing;

·        statistical approaches to NLP, specifically MaxEnt modeling;

·        efficient large-scale processing, including grid computation.

 
The purpose of the PhD position is research training leading to the successful completion of a doctoral degree.  The fellowship requires admission to the research-training programme at the Faculty of Mathematics and Natural Sciences.  Firstly, applicants must have obtained undergraduate (BSc level or equivalent) and postgraduate (MSc level or equivalent) qualifications.  Together this should represent approximately five years of full time study after the completion of European Upper Secondary School or International Baccalaureate.  For more information see:
http://www.matnat.uio.no/forskning/utdanning/english/phd_programme_presentation.html

Appointment to a research fellowship is conditional upon admission to the research training programme.  An approved plan for the research training must be submitted no later than one month after taking up the position, and admission approved within three months.  For more information see:
http://www.uio.no/admhb/reglhb/personal/tilsettingvitenskapelig/ansettelsesvilkar/guidelinesresearchfellowship.xml

The University of Oslo wishes to achieve a more equal distribution of scientific employees between the genders.  Female applicants are encouraged to apply.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

For any additional information please do not hesitate to contact: 
Stephan Oepen, email: oe@ifi.uio.no, phone: (+47) 22 84 01 25.

Pay grade: LTR 43 – 48 (NOK 337,200 – 355,200), depending on qualifications.

Deadline for applications: August 31, 2007

Reference number: PhD 07/7949

The applications (in English or in a Scandinavian language) marked with reference number 07/7949 including a curriculum vitae and complete information about the applicant’s education (both at the bachelor and master level), job experience, scientific publications, outline of research ambitions, and at least two academic references (name, position, email, and telephone number), should be sent to:

The University of Oslo
The Faculty of Mathematics and Natural Sciences
Grete Andresen
Boks 1032 Blindern
0315 Oslo, Norway.

E-mail: grete.andresen@matnat.uio.no

Application papers will not be returned, with the exception of original publications.