The Campus Biotech in Geneva is a Swiss center of excellence in biotechnology and life sciences research focusing on three domains: Neuroscience & Neurotechnology, Digital Health and Global Health.

The Campus houses neuroscience laboratories from the Lausanne institute of technology (EPFL), the University of Geneva and from the Geneva University Hospitals (HUG). Within this framework, the Methods & Data facility ( as part of the Human Neuroscience Platform, provides state-of-the-art neuroimaging data science and expertise to the housed labs.

In the line of the continuous development and improvement of our services, the Methods & Data facility wants to deploy a data engine to facilitate neuroimaging data inter-linking.

Job Description

Goal: Use knowledge graph technologies and associated Python packages to describe neuroimaging data and their provenance in a machine-readable format


  • Help implement knowledge graph technologies to describe brain imaging data
  • Add provenance information (how was the data generated) within the current workflow
  • Interact with brain imaging researchers to understand how to best represent their data
  • Test and document the resulting code according to best practices
Application: send a resume, cover letter, grade transcripts and the contact details of two referees to

Required profile

The Methods & Data facility offers a 6-month Master internship. The candidate should be engaged in a computer science university / engineering school curriculum at Master level, or equivalent.



  • [Required] Experience with Python and Git
  • [Optional] Experience with knowledge graphs and semantic web technologies (e.g. RDF)
  • [Optional] Experience with relational database management systems
  • [Optional] Experience with container technologies (Docker)
  • [Required] Proficiency in English                                                                                                                                                                                                                                             

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