Master Student Internship in Visual Analytics of Large Text Collections (M/F)

Reference : ERIN-2019-Intern-005

Type: Intern
Contract type: Internship
Duration: 6 months
Place: Belvaux

Context

 

Large text collections contain valuable knowledge that is difficult to find without appropriate visual text analytics software. The Papyrus software developed at LIST provides interactive visualizations to help analysts explore large text collections at various levels of details and focus on a manageable set of documents to read in detail.

 

Description

 

The internship will focus in particular on enhancing term tree visualizations available in Papyrus by investigating various term alignment strategies, inspired from state-of-the-art sequence alignment algorithms. The intern will also run user experiments to evaluate whether term alignment improves the interpretability of term trees.

 


Profile

 

Education

  • Master degree in computer science (or similar ongoing)

Competencies

  • Proficient in at least one of the following programming languages: Java, Python, Scala
  • Knowledge in the following technologies is a plus: D3js, AngularJS, Node
  • Knowledge in data mining and/or data visualization is a plus
  • Self-organized, team worker, with good communication skills

Language

  • English / French is mandatory (spoken and written)

 

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ERIN-2019-Intern-005


 

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Contact

Dr Mohammad GHONIEM
Dr Mohammad GHONIEM

 Stéphanie LUCADELLO
Stéphanie LUCADELLO