As a data scientist, you'll uncover insights from rich educational data to understand how students learn. You'll analyze clickstream data, learning patterns, group dynamics, and correlate these with exam results to improve the platform. You'll be mentored by a steering team with decades of combined experience in software development, pedagogy, and technology.

We're looking for:

  • Strong background in statistics and data analysis with demonstrable projects
  • Experience with data wrangling and data cleaning
  • Proficiency in advanced statistical methods and their application
  • Ability to work with complex datasets (clickstream data, user behavior, educational outcomes)
  • Skills in cross-tabulation analysis and correlation studies
  • Experience analyzing behavioral data or educational data is a plus
  • Programming skills in Python or R

Key focus areas

  • Learning process analysis from clickstream data
  • Correlation between platform usage and exam performance
  • Group dynamics and collaboration patterns
  • Statistical modeling of learning outcomes

This is a unique opportunity to apply data science to educational research and directly influence how we understand and improve student learning.

Practical information

  • Duration: minium two months (possibility for extension) within August – October.
  • Location: University of Oslo, Department of Informatics
  • Please specify your availability: we aim to coordinate all international team members to work simultaneously
  • We will confirm final dates after reviewing applications.

Document requirements

  • CV (maximum 2 pages)
  • Motivational letter (maximum 1 page)
  • Confirmation from sending university that you are full degree student at one Circle U. university when you apply.
  • Confirmation from sending university the traineeship must be approved as part of your degree
  • Transcript of records. You must have completed at least 60 ECTS credits before the traineeship starts.
  • A traineeship Learning Agreement must be completed and signed by all parties
  • You must have valid health insurance through the European Health Insurance Card or private insurance. You must also have travel insurance or other equivalent insurance with accident and liability insurance cover.
  • The application deadline is 1 May for the autumn semester.

Funding

For questions related to funding, recognition, mobility, please contact your home university::

Contact Universet

Join the Universet Team in Oslo

Data Scientist - Learning Analytics for Universet
Submit your application by 1 May

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