30.2573, Jobs: Computational Linguistics: Post Doc, University of Oslo

[The LINGUIST List]

LINGUIST List: Vol-30-2573. Thu Jun 27 2019. ISSN: 1069 - 4875.

Subject: 30.2573, Jobs: Computational Linguistics: Post Doc, University of Oslo

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Date: Thu, 27 Jun 2019 12:05:55
From: Dag Haug [daghaug at ifikk.uio.no]
Subject: Computational Linguistics: Post Doc, University of Oslo, Norway

 University or Organization: University of Oslo 
Department: Department of Linguistics and Scandinavian Studies
Job Location: Oslo, Norway 
Web Address: https://www.hf.uio.no/iln/english/
Job Title: Postdoc in Linguistics
Job Rank: Post Doc

Specialty Areas: Computational Linguistics 


Description:

A Post-Doctoral Research Fellowship (SKO 1352) is available at the Department
of Linguistics and Scandinavian Studies, University of Oslo.

The position is part of the UiO convergence environment ImmunoLingo
(https://www.uio.no/english/research/strategic-research-areas/life-science/research/convergence-environments/immunolingo/)  led by Dr. Victor Greiff.

The convergence environment will set out to decipher the molecular language of
adaptive immunity, which we call ImmunoLingo. Understanding Immunolingo is of
incredible importance for the design and discovery of precision
immunodiagnostics and immunotherapeutics. Our goal will be achieved by
transdisciplinarily combining expertise of life sciences, machine learning,
statistics and linguistics researchers. The fundamental hypothesis of
ImmunoLingo is that there exists a meaningful structure in the amino acid
sequence that defines what the receptor of an adaptive immune cell will
recognize.

The candidate will use techniques from theoretical and computational
linguistics to explore this structure. Relevant approaches include parsing
amino acid sequences with multiple context free grammars based on grammar
induction and engineering, semantic analysis of the discovered structures, and
grammatical analysis of of individuals' immune repertoires. Much of this work
will complement analysis based on deep learning within the project leading to
fruitful combination of rule-based and machine learning-based methods.
Sequence motifs in the immune system are known to be highly discontinuous and
overlapping  and an important goal of the project is to develop scalable
techniques for dealing with these phenomena also in natural language.

More details and how to apply can be found at the application link provided
below.



Application Deadline: 18-Aug-2019 
	  
Web Address for Applications: https://www.jobbnorge.no/en/available-jobs/job/171353/post-doctoral-research-fellowship 
Contact Information:
	Dag Haug 
	Email: daghaug at ifikk.uio.no



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