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.

Goal: Develop a prototype neuroimaging data platform implementing the FAIR principles (findable, accessible, inter-operable and reusable) leveraging existing technologies.

Job Description

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 with advanced web technologies to facilitate neuroimaging data inter-linking.


  • Help implement knowledge graph technologies by integrating existing tools and data description frameworks 
  • Implement this architecture locally or/and in the cloud 
  • Be open to both learn basic neuroimaging / dev ops within a team of neuroimaging experts and developers 
  • Document the resulting code and implementation process 

Required profile


  • [Required] Experience with Python 
  • [Optional] Experience with knowledge graphs and semantic web technologies and formats (e.g. RDF, SPARQL) 
  • [Optional] Experience with relational database management systems 
  • [Optional] Experience with Flask / Javascript 
  • [Required] Proficiency in English 

Application: send a resume and a cover letter to methods(at)
Starting date: February 2021 at the earliest, exact starting date flexible


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