FTL Programme Syria AI4Climate Implementation DS4SDGs Training Support
Support the implementation of the FTL Programme through training and mentorship.
Overview
Support the implementation of the FTL Programme through training and mentorship.
You have:
- 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.
- Prior teaching, tutoring, mentoring, or instructional experience is a plus.
- Advanced proficiency in Python programming, Data Science, Machine Learning, Deep Learning and Natural Language Processing demonstrated with a project portfolio, work experience or certified training materials.
- Strong software development and problem-solving skills, with the ability to write clean, efficient, and maintainable code.
Contract
This is a UNV contract. More about UNV contracts.
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.
The Online Volunteers will provide support on the areas mentioned below:
- Review the existing DS4SDGs course materials and update the course materials, exercises and assignments in accordance with the Climate Resilience and latest best practices.
- Deliver "DS4SDGs" courses to ensure a comprehensive understanding among students in the absence of FTL Trainers (if necessary).
- Demonstrate practical skills through live coding sessions.
- Provide a pre-recorded demo for each session, if needed.
- Host office hours for addressing students' questions and assisting them for their assignments, teaching, and interaction with students.
The office hours and workload will be discussed with the Online Volunteers.
- 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.
- Prior teaching, tutoring, mentoring, or instructional experience is a plus.
- Advanced proficiency in Python programming, Data Science, Machine Learning, Deep Learning and Natural Language Procesing demonstrated with a project portfolio, work experience or certified training materials.
- Strong software development and problem-solving skills, with the ability to write clean, efficient, and maintainable code.
Potential interview questions
| Can you describe a project where you applied Python programming to solve a real-world problem? | This question assesses your practical experience with Python in real scenarios. | Discuss a specific project, detailing the problem, your approach, and the outcome. |
| How do you ensure that your code is maintainable and efficient? | The interviewer wants to know your coding practices and philosophy. | Pro members can see the explanation. |
| What strategies would you employ when teaching complex topics like machine learning to students? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you provide an example of when you mentored or tutored someone? What was your approach? | Pro members can see the explanation. | Pro members can see the explanation. |
| What do you consider the most important skill for success in data science? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you stay updated with the latest trends in AI and machine learning? | Pro members can see the explanation. | Pro members can see the explanation. |
| Explain how you would review and update existing course materials. What factors would you consider? | Pro members can see the explanation. | Pro members can see the explanation. |
| How would you approach hosting an office hour for students? What would be your priorities? | Pro members can see the explanation. | Pro members can see the explanation. |
Added 8 days ago
-
Updated 7 hours ago
-
Source:
unv.org
