Summary
The AWARD Leadership Program for Emerging African Women in Science is a customized learning experience for young African women in science under 35. The program will equip participants with the skills and confidence to lead and innovate in the scientific world.
The underrepresentation of women in leadership roles ultimately affects progress toward sustainable development and achieving global sustainable development goals. To ensure women’s effective participation in leadership, women must access learning opportunities to gain skills that will equip them to lead effectively.
The AWARD Leadership Program for Emerging African Women in Science is tailored to address some challenges that impede young women’s growth into leadership in science.
Benefit
Participants will gain
leadership and mentoring training, access to a network of professionals, tools for personal branding, and opportunities to amplify their visibility through presentations and media engagement
skills in gender-responsive agricultural research, enhancing their capacity to win grants that promote gender equality.
The program does not cover additional costs besides providing the virtual training courses.
Eligibility
The program is available to high-potential female applicants under 35 years old who work in science and agriculture and have at least five years of full-time sector experience.
Education qualification: Applicants must have a minimum of a B.Sc. degree or equivalent in any agricultural science discipline from a recognized university.
The program targets young African women scientists from Ethiopia, Kenya, Ghana, Nigeria and Malawi.
Applicants must demonstrate their commitment to growth, clearly articulate their career goals, and demonstrate their ability to take on leadership responsibility.
Applicants must reside in Africa and be currently actively engaged in agriculture-related professional work.
Applicants must not be a Fellow or Laureate of any other Fellowships offered by AWARD.
Deadline February 12, 2025
For more information, click here.
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