This opportunity is archived. It was not seen in the latest successful scrape and may no longer be accepting applications.
UNDP Istanbul International Center for Private Sector in Development / Published Jun 22, 2026

FTL Programme Syria AI4Climate Implementation Python Training Support

Online8. Decent work and economic growth

The Online Volunteers will provide support with: 1. Review the existing Python course materials and update the course materials, exercises and assignments in accordance with the Climate Resilience and latest best practices. 2. Deliver "Applied Python for Engineering & Climate Systems" courses (16 hours in total throug...

Remote country
Türkiye
16 - 20 hours per week
Duration
28 days
Deadline
Jul 6, 2026
6 days ago
Assignments
2
available position(s)
Sustainable Development Goal

8. Decent work and economic growth

Assignment

What the volunteer will do

Mission and objectives

Istanbul International Center for Private Sector in Development (IICPSD) supports the private sector and foundations to become transformative partners in development through research, advocacy for inclusive business, facilitation of public-private dialogue and brokering partnerships. IICPSD, established in 2011 in partnership with the Government of Turkey, is one of UNDP's six Global Policy Centres. It leads UNDP’s global work on private sector and foundations and supports UNDP’s offices all over the world. The Center focuses on four thematic areas: 1. Inclusive Business; 2. Private Sector Engagement in Skills Development; 3. Impact investing; 4. Resilience and Crisis Response. The Center also hosts four global initiatives: Business Call to Action, SDG Philanthropy Platform, Global Islamic Finance and Impact Investing Platform and Connecting Business Initiative.

Context

UNDP ICPSD’s SDG AI Lab implements the Future Tech Leaders (FTL) Programme to equip the next generation with cutting-edge digital skills. The Programme focuses on frontier technologies such as AI, machine learning, data science, GIS, and game development, while also strengthening entrepreneurship and leadership capacities. It primarily targets the labor force in developing countries, with a particular emphasis on youth. Frontier technologies present leapfrogging opportunities in fragile contexts like Syria. The Future Tech Leaders Programme equips young people with frontier tech skills, builds local capacity, and supports pilot projects to reduce risks for partners and investors. By linking training to urgent climate challenges, Syrian youth can create jobs, strengthen resilience, and open future-oriented employment and innovation pathways in a country facing acute unemployment.

Task description

The Online Volunteers will provide support with: 1. Review the existing Python course materials and update the course materials, exercises and assignments in accordance with the Climate Resilience and latest best practices. 2. Deliver "Applied Python for Engineering & Climate Systems" courses (16 hours in total throughout 2 weeks) ensure a comprehensive understanding among students in the absence of FTL Trainers (if necessary). 3. Demonstrate practical skills through live coding sessions. 4. Provide a pre-recorded demo for each session, if needed. 5. Host office hours for addressing students' questions and assisting them for their assignments, teaching, and interaction with students (Evening sessions during the weekdays and morning sessions on the weekend). The hours and workload will be discussed with the Online Volunteers.
Requirements

Eligibility and qualifications

Age
18 - 80
Education
-

Languages

EnglishRequired

Working knowledge

ArabicPreferred

Working knowledge

Skills and experience

1. Senior-year undergraduate student or higher, preferably pursuing or holding a Bachelor's degree in Computer Science, Computer Engineering, or a related field, with a strong foundation in programming. 2. Prior teaching, tutoring, mentoring, or instructional experience is a plus. 3. Advanced proficiency in Python programming. 4. Strong software development and problem-solving skills, with the ability to write clean, efficient, and maintainable code.