AIMS Health and Interventions Monitoring with Artificial Intelligence – HIMAI


Application Deadline: August 30th 2019

AIMS invites applications from qualified men and women of any nationality for postdoc and PhD positions available in our Health and Interventions Monitoring with Artificial Intelligence (HIMAI) project. By using approaches substantially reliant on machine learning and AI, the HIMAI project seeks to transform the practice of pharmacovigilance and the diagnosis and control of various diseases.

Successful applicants will be based in our Rwandan campus, and may be temporarily placed in collaborating wet/engineering labs in Rwanda and elsewhere, depending on their research topic.

Research interests span from engineering to science and include, but are not limited to, the following:

  • computational medicine: AI-powered medical diagnostic & prognostic devices (engineering); mathematical modeling for understanding disease processes (science)
  • computational epidemiology: AI-powered epidemic surveillance and climate-smart early warning systems (engineering); mathematical modeling for understanding epidemic spread and control options (science)

Desired knowledge/experience:

  • advanced probability theory and statistics
  • advanced calculus
  • pattern-based (including deep learning) & theory-driven machine learning
  • programming in Python, C++
  • software development for feature & smart phones
  • 3D printing
  • digital circuit design
  • hybridization capture of nucleic acids
  • nanopore sequencing

Minimum academic qualifications:

  • PhD in mathematical science (for postdoc positions)
  • MSc in biological or mathematical science (for PhD positions)

Successful PhD applicants may be required to take remedial courses in computing, calculus, and/or statistics.

How to apply:

Email CV and cover letter to [email protected] with the subject line “HIMAI application”. Have two confidential reference letters sent under separate cover to the same email address with the subject line “HIMAI application reference”.

For More Information:

Visit the Official Webpage of the AIMS Health and Interventions Monitoring with Artificial Intelligence


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