Professors Without Borders, a UK-based charity, is in our second year of a partnership with the Women Farmer Foundation (WFF), Eswatini.
The Women Farmer Foundation (WFF) strives to empower and develop women and youth in the agricultural sector, in the process uplifting their social and economic status. The organisation aims to empower, educate, and develop its members and competition beneficiaries through agriculture and agribusiness training.
The ideal candidate will have at least a Masters degree in their relevant discipline. They should have a dynamic personality and love of teaching, with at least 3 years of teaching experience within the agricultural sector.
Young women in the agricultural sector.
Flights, Travel Insurance, and Visa will be provided by Professors Without Borders
Accommodation, Meals, and Local Transportation will be provided by the WFF
1) Entrepreneurship
This course merges the structured, human-centered approach of Design Thinking with the strategic, execution-focused discipline of Entrepreneurship. Students will learn a repeatable, five-stage process (Empathize, Define, Ideate, Prototype, Test) to identify unmet user needs, rapidly develop innovative solutions, and validate market viability. The curriculum emphasizes moving quickly from concept to a viable Minimum Viable Product (MVP).
2) Tunnel Crop Production
This course focuses on practical, hands-on learning tailored to Eswatini’s climate, covering tunnel construction, climate control, and fertigation techniques for high-value crops. It equips participants with the skills needed to improve yields, manage pests effectively, and develop sustainable agribusiness practices.
3) Sustainable Agriculture Practices & Agribusiness Management
This course explores the ecological, economic, and social principles necessary for developing and managing sustainable agricultural systems. It focuses on soil health, water conservation, biodiversity, and ethical food systems to support long-term farm productivity and resilience.
4) The Role of AI in Agriculture (Agri-Tech)
This course explores how Artificial Intelligence (AI) and Machine Learning (ML) can support modern agricultural practices, including precision farming, data analysis, and automation. Participants will learn how technology can improve efficiency and sustainability in agriculture.
Please complete our application form by Friday April 24. As part of this, you will be required to submit a cover letter and CV. The cover letter is a very important indication of your seriousness about this programme and will be considered greatly. It should be written primarily by yourself without the dominant contribution coming from AI tools, which are easily recognizable to the reader. It should address your commitment to SDG #4–the delivery of Quality Education–and the skills and attributes you can contribute to this programme.
If shortlisted, you will be invited to complete a situational judgement test to assess your approach to safeguarding, followed by an interview with our Co-Heads of Programmes to discuss teaching ideas for the programme and your pedagogical approach.