IFDC
In order to reform the Ghanaian fertiliser industry for the advancement of sustainable agricultural development, IFDC is in charge of a five-year programme that combines research and instructional activities with an implementation approach. The change is being led by evidence-based agro-technical approaches that are integrated into multi-stakeholder processes to provide enabling conditions for smallholder farmers to use suitable balanced fertilisers.
To make sure that the programme is successful in focusing on the necessary places and targeted individuals, managing such a large-scale programme requires a tool, good data management, and quantitative analytical tools. The system should be able to provide crop- and site-specific fertiliser recommendations that are supported by science and are presented in a way that is understandable to a non-scientific audience.
Our FERARI program needs a highly qualified specialist/scientist on database management and advanced statistical and spatial analyses, including the use of machine learning methods. We are looking for a colleague with a BSc/MSc equivalent in computer science and experience in the development of advanced spatial methodologies, preferably with some basic training in agriculture.
This implies that the candidate understands the importance of database integrity in terms of efficiency and security, has a very good working knowledge of statistical and spatial analysis tools such as GIS and programming in languages such as R, Python, Java Scripts and SQL.
Responsibilities/Duties
- Create database management procedures
- Evaluate data analysis models and procedures
- Monitor and maintain system health and security
- Provide end-to-end technical support and problem resolution
- Develop spatial maps using advanced statistical methodologies, including machine, deep learning and remote sensing methods.
- Participate in FERARIs cross-training program
- Ability to program or willingness to learn
- Support internal staff
- Provide technical assistance to support student thesis and dissertation
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Qualification & Experience
- An MSc degree or equivalent in computer sciences, Geoinformation Science, preferably with basic training in agricultural sciences (crop modelling).
- Evidence of excellence in computer skills
- Excellent in Geographical Information System software use (ArcGIS, QGIS, GEE, GEODA, etc) and good experience in R, Python, Java Scripts and SQL programming
- Experience in the use of leading applications in computers, including machine learning and remote sensing methodologies
- Preferably a few years of relevant working experience.
- Pleasant and effective communication and writing skills