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Doctoral candidate (PhD student) in Text Mining-Financial News, Luxembourg

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The Information Mining and Knowledge Discovery research group (MINE) of the ILIAS Lab (http://ilias.uni.lu), Computer Science and Communications Research Unit, University of Luxembourg is looking for a

Doctoral candidate (PhD student) in “Text Mining / Financial News” (M/F)

  • Ref: F1-070055
  • 3-year fixed-term employment, full-time (40h/week) 
  • Student status

Your Role

The successful candidate will contribute to research on massive text collections (Thomson Reuters Financial News, New York Times Corpus) and perform a research work in sentiment analysis, topic detection, or another field related to Text Mining. Knowledge in the financial domain is a plus but not a must. The candidate’s mission is to perform a PhD thesis in this field and to disseminate the research results through scientific publications. The selected candidate will establish scientific contacts to external researchers and groups and assist the teaching activities of the research group.

Information can be obtained from Prof. Schommer, Email: Christoph.Schommer@uni.lu.

Your Profile
  • A Master degree/Diploma in Computer Science or Linguistics or equivalent.
  • An excellent background in at least 2 of the following 4 fields: Text Mining, Natural Language Processing, Machine Learning, and Information Retrieval.
  • Excellent skills in at least one programming language.
  • Excellent written and oral English skills.

We offer

The University offers a 3-year contract (with a possible extension of 1 year) and a highly competitive salary. The selected candidate will work in an exciting international environment and will have the opportunity to participate in the development of a newly founded University. The University is an equal opportunity employer.ki

Further Information

Applications should be written in English and should include the following documents:

  • Motivation letter (max 1 page).
  • A PhD project proposal with respect to the fields mentioned above (max 1 page)
  • An executive summary of your Master Thesis (max 1 page).
  • Curriculum Vitae, including your contact address, academic/professional work experiences, and a list of academic publications (including Bachelor Thesis, Master Thesis)
  • A list of courses you have taken and a transcript of grades from all University-level courses.
  • Contact information of 2 independent referees or 2 independent reference letters.

    Contact
    Interested candidates are invited to submit their application electronically via recruitment.uni.lu.
    Please apply online until 26th August 2015.

Further Information

Application Deadline : 26 August 2015

Doctoral candidate (PhD student) in Text Mining-Financial News : PDF

Contact Email:

Posted on 2015-08-09 04:32:08


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