Postdoctoral Internship on the Epistemology of Digital Humanitarianism: A Case Study of the Doctors Without Borders / Médecins Sans Frontières REACH Program

Photo par Jean-François Dubé lors de son déploiement au Népal en 2015


Research objectives

  • Identify, on the basis of empirical observations and using the resources of applied epistemology (social and naturalized) and STS (Science and Technology Studies), the epistemic strengths and weaknesses of MSF REACH;
  • Lay the groundwork for thinking about improving the epistemic value of emergency data production by making use of the contributions of various ameliorative programs in the literature.


  • $ 45,000 (CAD) for 15 months


  • Starting in September 2018
  • Be present in Montreal and Sherbrooke, and participate in the activities of the CIRST and the Canada Research Chair in Applied Epistemology
  • PhD completed in the last 5 years
  • Not being simultaneously funded by another Canadian institution  (SSHRC, FRQSC, etc.)

The ideal candidate would meet the following conditions

Skills and qualities

  • Knowledge of applied epistemology (system-oriented social epistemology, socio-technical epistemology) or related STS work
  • Knowledge of social studies of information technologies and artificial intelligence
  • Experience with interview techniques in the social sciences
  • English proficiency and at least an intermediate level in French
  • Strong interest in emergency humanitarian work (work experience in this area is an asset)
  • Capacity for autonomous work
  • Ability to be accountable for one's work

To apply:

Please send your application to François Claveau. The documents should include:

  1. A letter describing the relevant skills, experiences and research interests
  2. A CV including the contact details of at least two persons who can act as references
  3. A proof of graduation

The deadline for application is June 29th 2018. If you have questions, please contact François.

This content has been updated on September 14th, 2018 at 9 h 32 min.