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Agriculture, fishing, forestry, wildlife Jobs in Africa

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Amo Farm Sieberer Hatchery Limited

CLOSED

Natnuprenuer Farmers Satisfaction Representative - Akwa Ibom

Lagos, Nigeria

Agricultural Systems Scientist

Closing: May 15, 2024

16 days remaining

Published: Apr 28, 2024 (1 day ago)

Job Requirements

Education:

Work experience:

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Job Summary

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Requirements

• PhD in Agricultural Economics, Agricultural Sciences, Sociology or related field.

• Minimum of 5 years of working experience within a multi-disciplinary research context.

• Advanced skills and demonstrated experience in quantitative and/or qualitative data analysis.

• Experience with the collection and management of large-scale survey data.

• Experience with Monitoring & Evaluation, Learning and Impact assessment.

• Strong organizational/management skills in large-scale research or development projects.

• Demonstrated good technical report writing skills.

• Excellent written and spoken communication skills in English.


Responsibilities

Requirements

• PhD in Agricultural Economics, Agricultural Sciences, Sociology or related field.

• Minimum of 5 years of working experience within a multi-disciplinary research context.

• Advanced skills and demonstrated experience in quantitative and/or qualitative data analysis.

• Experience with the collection and management of large-scale survey data.

• Experience with Monitoring & Evaluation, Learning and Impact assessment.

• Strong organizational/management skills in large-scale research or development projects.

• Demonstrated good technical report writing skills.

• Excellent written and spoken communication skills in English.


• Facilitate regular interactions between Add-on, KPI, MELIA and Use Case teams for the integration of Add-on activities, KPI assessment and MELIA activities within Use Cases.

• Coordinate the development and implementation of an Add-on toolbox that is digitally accessible to Use Case teams, EiA partners and beyond.

• Organize capacity building activities for Use Case teams, focused on data collection, data analysis and learning for MVP design and scaling, to enable the implementation of Add-on activities.

• Conduct data analysis to extract learnings on farming systems dynamics and characteristics of farmer communities to inform Use Case strategies.

• Facilitate collaboration between Add-on/KPI teams and EiA data analysis support functions. 1 Yield gap decomposition; Farmer segmentation; Gender- and youth-responsiveness; Climate change adaptation/mitigation potential; Ex-ante impact assessment; Assessment of current agronomic practices,


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