Job: Postdoctoral Fellowship at HULTECH/GREYC/Normandie University, France

[Thierry Hamon]

Date: Fri, 29 Mar 2013 13:06:52 +0100
From: Gaël Dias <gael.dias at unicaen.fr>
Message-ID: <515583DC.2060106 at unicaen.fr>


[apologies for cross-postings]

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Postdoctoral Fellowship in Context-Aware Opinin Mining

Normandie University (France) and CNRS GREYC Laboratory

Application deadline: 01.05.2013 (11:59pm GMT)

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POSITION ANNOUNCEMENT
1 year post-doc position in the SEMCOMP project at the CNRS GREYC Lab,
Caen, France.
Application deadline: 01.05.2013 (11:59pm GMT)

The Human Language Technology group (HULTECH) is seeking candidates for
a post-doc position to work in the newly started "Personalized
Spatio-Temporal Opinion Analisys (SEMCOMP)" project at the CNRS GREYC
Laboratory.

POSITION:
Within the scope of context-aware opinion mining, the SEMCOMP project is
looking for a candidate to carry out research activities in the field of
Natural Language Processing, Text Mining and Knowledge Engineering, and
in particular on the usage and definition of information extraction
algorithms, methodologies and tools for discovering the spatio-temporal
foci of entity-related opinions. The activities will focus on different
research areas such as named-entity recognition, entity linking and
spatio-temporal information extraction.
The candidates are expected to work in collaboration with other 
researchers, programmers, and students involved in the project in an 
interdisciplinary team, and to collaborate with the research units 
involved in the project.

JOB REQUIREMENTS:
- Ph.D. degree in computer science, mathematics or electronic
  engineering;
- Theoretical background in Natural Language Processing, Text Mining or
  Information Retrieval;
- Experience with machine learning, knowledge representation and
  knowledge engineering;
- Skills in experimental work and Web application  development;
- Ability to carry out an independent program of research;
- Ability to work in a collaborative environment and deliver in research
  projects;
- Oral and written proficiency in English.

OPTIONAL REQUIREMENTS:
- Ph.D. related to the topic of the call;
- Experience with practical applications;
- Soft skill (e.g., communication, teambuilding, problem solving, etc.)

EMPLOYMENT:
- Type of contract: Research position - Full time
- Number of positions: 1
- Net salary: 1900 euros/month.
- Start date: from September 2013
- Duration: up to 1 year
- Workplace: University of Caen Basse-Normandie, UFR Sciences, Caen, France

APPLICATION:
To apply online, please send your detailed CV including a statement of
interest and the contacts of three reference persons. The applicant must
also attach his/her Ph.D. Certificate and a list of any publications,
certificates or other qualifications (if any) considered relevant for
assessing the candidate’s abilities in relation to this Call. IMPORTANT:
All these requirements must be sent in a single PDF file.

Please note that in the application the candidate must declare clearly, 
precisely and under his/her own responsibility, the following:

- Personal information: date and place of birth, nationality, residence
  and contact address during the selection procedure;

- Citizenship: applicants who are citizens of a Country that is not a
  European Union Member State must have already possess or at least
  requested a Work Residence Permit. This requirement is not mandatory
  for the current application, but if the Residence Permit or related
  requests are not presented when the contract will be stipulated all
  the related rights will be forfeited;

- Doctoral Degree.

Applications must be sent to Gaël Dias (gael.dias at unicaen.fr) and
Stéphane Ferrari (stephane.ferrari at unicaen.fr).
Emails should have the following reference code: SEMCOMP_PostDoc2013

Application deadline: 01.05.2013 (11:59pm GMT).
Only applications received before the aforementioned deadline will be
considered.

For further information, please feel free to contact Gaël Dias 
(gael.dias at unicaen.fr) and Stéphane Ferrari (stephane.ferrari at unicaen.fr).

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