Course Guide Fellow (AI, ML, NLP)
Home Based - May require travel
- Organization: UNDP - United Nations Development Programme
- Location: Home Based - May require travel
- Grade:
-
Occupational Groups:
- Information Technology and Computer Science
- Innovations for Sustainable Development
- Closing Date: 2025-05-09
UNDP works in about 170 countries and territories, helping to eradicate poverty, reduce inequalities and exclusion, and build resilience so countries can sustain progress. As the UN’s development agency, UNDP plays a critical role in helping countries achieve the Sustainable Development Goals.
The Istanbul International Center for Private Sector in Development (ICPSD) is the United Nations Development Program (UNDP) global organization mandated to leverage the role of the private sector in development. The ICPSD was established in Istanbul, Türkiye based on the Partnership Framework Agreement signed between the Government of the Republic of Türkiye and the United Nations Development Program in March 2011. The center is one of the six global thematic policy centers of UNDP, supports the private sector and foundations to become transformative partners in development through research, advocacy, facilitation of public-private dialogue and brokering partnerships. ICPSD leads UNDP’s global work on private sector and foundations and supports UNDP’s offices all around the world.
The SDG AI Lab is a joint initiative of UNDP BPPS (Bureau for Policy and Programme Support) team, and it is hosted under UNDP ICPSD. The SDG AI Lab provides research, development, and advisory support through innovative digital solutions in harnessing the potential of Artificial Intelligence (AI), Machine Learning (ML) and Geographic Information Systems (GIS) for sustainable development. The Lab aims to strengthen the UNDP’s internal and its partners’ capacities for the increasing demand for digital transformation.
UNDP ICPSD’s SDG AI Lab, UN Technology Bank will jointly implement the Frontier Tech Leaders (FTL) Program for the LDCs (Least Developed Countries) to bridge the digital divide and contribute to the 2030 Agenda of sustainable development. The Frontier Tech Leaders Program trains tech specialists in Least Developed Countries to develop digital solutions for developmental challenges. In this sense, it will inspire youth and provide them with the means for action. With a focus on encouraging young women to pursue education and careers in the field of technology, the Program will promote the gender equality in the field of frontier technologies.
The Programme has its fourth country implementation in Angola with the aim of graduating minimum 50 young participants from the Frontier Tech Leaders Bootcamp in Angola. The Frontier Tech Leaders Programme in Angola is tailored for sustainable tourism development agenda of the government’s strategic priorities. The FTL Programme will include specific courses on utilizing frontier technologies for the sustainable tourism development, sustainable tourism focused capstone project and a specialized webinar for raising awareness on the use of frontier technologies for sustainable tourism development. The young participants will also benefit from community training activities, Virtual Digital Business Incubation Programme and global FTL community.
SDG AI Lab’s Data Science Fellowship modality is based on UNDP’s Fellowship policy. The objective of the Data Science Fellowship is to provide the opportunity to work on how to deploy frontier technologies such as Data Science, Artificial Intelligence (AI), Machine Learning, Deep Learning (DL), Natural Language Processing (NLP), GIS, and Blockchain on development issues. In particular, the Fellow will support Frontier Tech Leaders Program’s training and community activities.
The Fellow will assist in the following duties and responsibilities:
№ | Duties and responsibilities | % of time |
1 |
Support Frontier Tech Leaders Training component
|
50 % |
2 |
Support Frontier Tech Leaders Portuguese speaking community
|
30 % |
3 |
Development and implementation of digital solutions for SDGs with utilizing AI/ML/DL/NLP
|
10 % |
4 |
Other
|
10 % |
Required Skills and Experience
Education:
Candidates must meet one of the following educational requirements:
- Bachelor’s degree in Computer Science, Statistics, Data Science, Mathematics, or related field is required.
- Master’s degree in Computer Science, Statistics, Data Science, Mathematics, or related field is an asset.
IT skills:
- Strong proficiency in Python
- Knowledge of open-source software library such as TensorFlow, Scikit-Learn, Pandas, and NLTK is an asset
- Familiarity with the Software Development tools including Git and GitHub
- Strong understanding of Machine Learning, Deep Learning and Natural Language Processing
- Completion of AI/DL/ML certification from Coursera (i.e. Stanford University Machine Learning Specialization by Andrew Ng) is an asset
Language skills:
- Fluency in Portuguese and English with excellent reading and writing skills is required
Other competencies and attitude:
- Interest in innovative teaching, learning and assessment;
- Flexibility and capacity to teach (remotely) across a range of AI courses.
- Willingness and capacity to undertake continuous professional development related to technology use and to teach on these matters.
- Excellent written and verbal communication skills including presentation skills, both face-to-face and online.
- Ability to engage and develop working relationships with program participants and project stakeholders
- Displays cultural, gender, religion, race, nationality and age sensitivity and adaptability
- Responds positively to feedback and differing points of view
- Consistently approaches work with energy and a positive, constructive attitude.
Additional Information
- The UNDP Fellowship Program is designed to offer exposure to development issues and first-hand experience of the day-to-day work of UNDP .
- Home-based: Fellows are expected to work remotely; no relocation is required.
- Hours worked: Full-time (40 hrs/wk)
- There is no expectation of employment with UNDP following a fellowship.
Application procedure
The application should contain:
- Brief Cover Letter (in English) stating interest in and qualifications for the post;
- Current and complete CV in English;
Candidates who are selected for must submit prior to the interview the following documents:
- Official document(s) confirming meeting at least one of the educational requirements.
Stipend
- During the time of the fellowship, UNDP will provide a monthly stipend which will be determined for each duty station based on the stipend rates published yearly by the OHR Policy and Compensation Unit. The stipend will be paid on a monthly basis.
Applications from non-qualifying applicants will most likely be discarded by the recruiting manager.