http://emea3.mrted.ly/jn6i

 

Doctoral candidate (PhD student) in “Data Science for Big Texts”

Contract Type:

Fixed Term Contract

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 “Data Science for Big Texts” (M/F)

  • Ref: F1-070016
  • 3-year fixed-term contract, full-time (40h/week) with a possible extension of 1 year
  • Student status

Areas:  Big texts, Data Science.

Your Role

The successful candidate will contribute to the activities of the MINE research group, in particular to research on massive text collections (e.g., Thomson Reuters Financial News, New York Times Corpus), its theoretical implications, and practical relevancies. The selected candidate will be a member of the Doctoral School and write a PhD thesis on the basis of a scientific problem/question, disseminate the gained research results through scientific publications, and assist in Professor Schommers teaching activities. The selected candidate will establish scientific contacts to external researchers and groups.

Your Profile
  • A Master degree or Diploma in Computer Science or equivalent.
  • An excellent background in at least 2 of the following 4 fields: Data Mining, Natural Language Processing, Information Visualisation, and Information Retrieval.
  • Excellent skills in at least one programming language; solid knowledge of TeX, LaTeX.
  • 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. You will work in an exciting international (multicultural and multilingual) environment and will have the opportunity to participate in the development of a newly founded University. The University is an equal opportunity employer.

Further Information

Applications should be written in English and with LaTeX. They must include the following documents:

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

Please apply online until 19th January 2015.



Last updated on: 09 Dec 2014