UNICEF Internship: Digital Epidemiology, Office of Innovation, due 1/25

UNICEF Internship: Digital Epidemiology, Office of Innovation, due 1/25

How can you make a difference?

What could be a better way to spend your winter than trying to help develop and streamline lifesaving innovations in UNICEF – one of the world’s largest organizations serving children? The UNICEF Internship Programme offers eligible/qualified students the opportunity to acquire direct practical experience in UNICEF’s work under the direct supervision of experienced UNICEF staff.

As a UNICEF Innovation Intern you will:

  • Get to work on a specific project of strategic value to the team. You’ll get to present your ideas and outputs to the team at the end of the summer.
  • Receive dedicated mentorship from a member of multidisciplinary team related to your project and your career and development plans
  • Be part of a dedicated induction programme to UNICEF and UNICEF Innovation
  • Have a fun and inspiring internship experience

Main responsibilities will be:

  • Cleaning, curating and analyzing air traffic human mobility data
  • Supporting in exploring new geospatial datasets
  • Developing methodologies and pipelines to generate insights from human mobility data.
  • Developing methodologies and pipelines to improve the accuracy of existing early warning and response system for dengue outbreaks by integrating human mobility based variables
  • Visualizing, interpreting and communicating findings to the team, UNICEF country offices, and the broader public.

To qualify as an advocate for every child, you will…

  • Be enrolled in a Ph.D. programme in Computational/Digital Epidemiology or have graduated within the past two years. Applicants must be at least 18 years old.
  • Have excellent academic performance as demonstrated by recent university or institution records.
  • Have no immediate relatives (e.g. father, mother, brother, sister) working in any UNICEF office.
  • Have no other relatives in the line of authority which the intern will report to.
  • Additional consideration will be given for any past experience.
  • Have expertise in data science, complex systems and/or machine learning.
  • Have expertise in epidemiology and global health.
  • Have expertise in developing models to predict patterns of spatiotemporal spread of vector-borne diseases and early warning systems
  • Have experience with geospatial data analysis and visualization (including shapefile/raster mapping)
  • Have excellent programming skills: Python or R.
  • Fluency in English is required.

For more information and to apply, click HERE.


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