30.4717, Jobs: Computational Linguistics: Post Doc, University of Oslo

[The LINGUIST List]

LINGUIST List: Vol-30-4717. Mon Dec 16 2019. ISSN: 1069 - 4875.

Subject: 30.4717, Jobs: Computational Linguistics: Post Doc, University of Oslo

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Date: Mon, 16 Dec 2019 12:13:53
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 (computational) 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/res
earch/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 scaleable techniques for dealing with these phenomena also in natural
language.

The candidate will join the linguistics group at the Department of Linguistics
and Scandinavian Studies, which has a vibrant research community. He or she
will also have the opportunity to work in cross-disciplinary groups with other
ImmunoLingo researchers at the Department of Immunology, the Department of
Informatics and the Department of Mathematics. The main supervisor of the
candidate's work will be Dr. Dag Trygve Truslew Haug. Dr. Geir Sandve from
informatics and dr. Victor Greiff from Immunology will be co-supervisors.
Within three months of the start date, the successful candidate should have
finalized a project description in collaboration with the supervisors.

The position is available for a period of 3 years. There is a 10 % component
of compulsory work which will be assigned by UiO:Life Science in agreement
with the project leader, contingent on the qualifications of the candidate.

The successful candidate is expected to become part of the research
environment/network of the department and contribute to its development. The
main purpose of postdoctoral research fellowships is to qualify researchers
for work in higher academic positions within their disciplines.

For more information see the application link provided below.



Application Deadline: 31-Jan-2020 
	  
Web Address for Applications: https://www.jobbnorge.no/en/available-jobs/job/179932/post-doctoral-research-fellowship 
Contact Information:
	Dag Haug 
	Email: daghaug at ifikk.uio.no 


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