Research Associate, Research Supervisor At The International Institute Of Tropical Agriculture (IITA)

The International Institute of Tropical Agriculture (IITA) is a non-profit agricultural research-for-development (R4D) organization, and a member of the CGIAR Consortium.We thank you for your interest in IITA and invite you to explore many exciting and diverse career opportunities in a work environment that enables you to be the best you can, advancing your professional and personal growth in a multi-disciplinary and multi-cultural environment.

These positions are under TAMASA Nigeria Project. TAMASA (Taking Maize Agronomy to Scale in Africa) is a project that seeks to close attainable maize yield gaps in Nigeria through adoption of predictive Agronomic tools and improved inputs.


Successful candidate will perform the following duties:

.Backstop and help in maintaining maize agronomy research in conjunction with partners, supervising field staff, and CBOs for TAMASA project.

 Conduct data management and analyses, and contribute to reporting of research outputs.

 Support project staff to meet reporting, monitoring, and evaluation requirements of project activities.

 Facilitate aspects of TAMASA project operations and management of logistics.

 Be involved in field evaluation and validation of decision support tools.

 Assist in scaling up tools developed by the TAMASA project, and support in training of CBOs on the use of TAMASA tools.

 Support the training of students and visiting trainees.

 Carry out any other tasks related to TAMASA project as need arises.

Qualification, Experience and Skills

M.Sc. in Agronomy or Crop Production with at least 2 years of relevant experience in a similar position

The ideal candidate must:

 Have proven skills in the accurate implementation and conduct of field trials, with demonstrated experience in collection and analysis of agronomic data as well as socio-economic data.

 Possess excellent interpersonal skills and good communication skills

 Be proficient in Computer applications and be able to use statistical analysis systems such as SAS, Genstat and Excel.

 Possess a valid Driver’s License


We offer highly competitive salary with equally attractive fringe benefits and excellent working conditions in a pleasant team-based environment.

Click here to apply

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