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.