UNICEF works in some of the world’s toughest places, to reach the world’s most disadvantaged children. To save their lives. To defend their rights. To help them fulfill their potential.
Across 190 countries and territories, we work for every child, everywhere, every day, to build a better world for everyone.
And we never give up.
For every child, innovate:
UNICEF has a 70-year history of innovating for children. We believe that new approaches, partnerships and technologies that support realizing children’s rights are critical to improving their lives.
The Office of Innovation is a creative, interactive, and agile team in UNICEF. We sit at a unique intersection, where an organization that works on huge global issues meets the startup thinking, the technology, and the partners that turn this energy into scalable solutions.
UNICEF's Office of Innovation creates opportunities for the world's children by focusing on where new markets can meet their vital needs. We do this by:
- Connecting youth communities (or more broadly -- anyone disconnected or under-served) to decision-makers, and to each other, to deliver informed, relevant and sustained programmes that build better, stronger futures for children.
- Provoking change for children through an entrepreneurial approach -- in a traditionally risk-averse field -- to harness rapidly moving innovations and apply them to serve the needs of all children.
- Creating new models of partnership that leverage core business values across the public, private and academic sectors in order to deliver fast, and lasting results for children.
- The Office of Innovation specifically looks to form partnerships around frontier technologies (like drones and UAVs, blockchain, 21st century skills, urban technologies, new banking tools, wearables and sensors, or 3D-Printing) that exist at the intersection of $100 billion business markets and 1 billion person needs – and to identify how they can grow and scale profitably and inclusively.
We're an interdisciplinary team around the world tasked with identifying, prototyping, and scaling new technologies and practices. With our partners, we focus on convening and collaborating on new and different solutions, low- and high-tech, by:
- Looking at the 2-5 year horizon to evaluate emerging and trending technologies and to see how UNICEF can work with the private sector on doing better business while improving essential services for children;
- Investing in early stage solutions that show great potential to positively impact children in the 0-2 year future including the Venture Fund that invests in open source technology solutions from start-ups based in UNICEF’s programme countries;
- Identifying proven solutions that can be implemented at national scale in multiple countries – taking the ideas that help thousands in one country, bringing them to dozens of countries across multiple sectors, and impacting the lives of millions of children.”
We are looking for an intern to join the Data Science team - a team that does research and support product development with non-traditional data (aka Big Data) and methods (aka Computer Science). It does so by combining several disciplines such as network science, complex systems, natural language processing, data mining, machine learning, remote sensing and artificial intelligence looking into programmatic problems such as epidemiology, sudden onsets, urbanization, migration, human dynamics, vulnerabilities, poverty, inequalities and bias.
The Science Team interacts with world class scientists, on the ground responders, private sector data holders and tech leaders to push the Data Science and AI agenda towards the problems that affect the most vulnerable children. It is a key part of the MagicBox project, working together with Software developers, project managers and country offices and divisions looking forward to streamlining breakthroughs and working methodologies into operational tools that can make a real impact.
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:
- Supporting magic box team’s work to map school locations and to assess impacts of disasters around schools using deep learning algorithms and satellite imagery
- Supporting magic box team in preparing and processing satellite imagery and geospatial data
- Supporting the science team in getting a deeper understanding of the available data, e.g. representativeness, bias, etc.
- Exploring various deep learning algorithms and libraries and make suggestions
- 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 an undergraduate, graduate or Ph.D. programme in remote sensing, computer science or related field, 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 deep learning algorithms application on satellite imagery
- Have experience with geospatial data analysis and visualization (including shapefile/raster mapping)
- Have excellent programming skills: Python (preferred) or R.
- Fluency in English is required.