19.684, Jobs: Russian & Cognitive Ling: Research Fellow (PhD), U Tromso

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LINGUIST List: Vol-19-684. Fri Feb 29 2008. ISSN: 1068 - 4875.

Subject: 19.684, Jobs: Russian & Cognitive Ling: Research Fellow (PhD), U Tromso

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1)
Date: 27-Feb-2008
From: Tore Nesset < tore.nesset at hum.uit.no >
Subject: Russian & Cognitive Linguistics: Research Fellow (PhD student), University of Tromso, Norway

 

	
-------------------------Message 1 ---------------------------------- 
Date: Fri, 29 Feb 2008 12:57:32
From: Tore Nesset [tore.nesset at hum.uit.no]
Subject: Russian & Cognitive Linguistics: Research Fellow (PhD student), University of Tromso, Norway
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University or Organization: University of Tromso 
Department: Dept. of Language and linguistics
Job Location: Tromso, Norway 
Job Rank: Research Fellow (PhD student)  

Specialty Areas: Cognitive Science; Cognitive Linguistics

Required Language(s): Russian (rus)

Description:

The University of Tromsø has a research fellow position in Russian
linguistics vacant for applicants who would like to complete a PhD degree.
(Ref. 08-324)

For further information, please contact: Professor Laura A. Janda or
Professor Tore Nesset, telephone +47 77645633, email: tore.nesset at hum.uit.no.

The position is attached to the "Slavic Cognitive Linguistics in Tromsø"
(http://uit.no/humfak/7542/) research group, which has at present four
members: Professors Laura A. Janda and Tore Nesset, Post-Doctoral
Researcher Olga Lyashevskaya and PhD Student Svetlana Sokolova. The
research group is pursuing two major projects: "Exploring Emptiness"
(http://uit.no/humfak/8775/) and "Modeling Clusters of Russian Verbs"
(http://uit.no/22/9313). The person who is appointed to this position will
be a member of the research group involved in the latter project. In their
applications, candidates should describe their qualifications and explain
how they can contribute to the completion of the project. The project and
the research groups are described at the websites listed above.  The person
appointed to this position will write a PhD dissertation about aspect
clusters in Russian. S/he must have an MA degree in Russian language or
equivalent relevant education. Candidates must document that they have good
proficiency in Russian. In addition it is an advantage, but not a
requirement that candidates have one or more of the following qualifications:

-  Background in Cognitive Linguistics (e.g. a university-level course in
this linguistic theory)
-  Experience in teaching Russian 
-  Experience in developing and using interactive learning materials
-  Knowledge of Corpus Linguistics and experience with the use of electronic
corpora (e.g. Nacional'nyj korpus russkogo jazyka)
-  Knowledge of statistical analysis 
-  Good writing ability in English

The PhD position is a 4-year position. The current annual salary for
similar positions at the University of Tromsø is approximately 316,000 NOK
(= 51,535 US Dollars). A committee of experts will evaluate the candidates.
The main emphasis of the evaluation will be placed on the candidate's
research potential as evidenced by

-  MA thesis or the equivalent 
-  Other scholarly works, if available
-  The other relevant qualifications described above.

In order to apply, you must do the following:

a) Submit your electronic application using the application form found at
www.jobbnorge.no.
b) a letter of application, along with a CV, notarized copies of diplomas
and certificates and 5 copies of the list of scholarly works should be sent
in before the application deadline to the application address listed below.
c) 3 copies of your MA thesis and other scholarly works - published or
unpublished - which you want the committee to take into account in their
evaluation should be sent to the address above.


Application Deadline: 14-Apr-2008 
	Det humanistiske fakultet 
	Universitetet i Tromsø 
	Tromsø NO-9037 
	Norway  
Web Address for Applications: http://ec.europa.eu/eracareers/index_en.cfm?l1=1&l2=1&l3=1&idjob=23132 
Contact Information:
	Professor Laura Janda 
	Email: Laura.Janda at hum.uit.no 
	Phone: +47  77 645 680 




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