The researcher will coordinate and steer research and data collection activities across African countries and conduct and oversee data analyses based on a series of research questions and hypotheses. Value is added to the analyses by combining different types of data (e.g. climate, agronomic and socio-economic data) from different project activities and through comparative studies across the regions and countries where N2Africa works. The aim is to maximise learning from different research activities, provide timely feedback to those implementing the project in the field, and facilitate data access for people within and outside the project. You will play a central role in development of new research hypotheses and research lines within N2Africa.
The researcher will coordinate and steer research and data collection activities across African countries and conduct and oversee data analyses based on a series of research questions and hypotheses. Value is added to the analyses by combining different types of data (e.g. climate, agronomic and socio-economic data) from different project activities and through comparative studies across the regions and countries where N2Africa works. The aim is to maximise learning from different research activities, provide timely feedback to those implementing the project in the field, and facilitate data access for people within and outside the project. You will play a central role in development of new research hypotheses and research lines within N2Africa.
Responsibilities
- Issue guidelines for the design and implementation of the agronomic trials and demonstration plots, including standard measurement protocols
- Develop data collection tools, especially those for advanced M&E in dissemination activities and baseline and endline surveys
- Collect and compile information on yield gaps, farmer practices with respect to the targeted legume crops, as well as socio-economic indicators of rural households
- Explore possibilities for the employment of new ICT tools in data collection
- Establish data analysis protocols and workflows, analyse data and oversee data analyses by others
- Ensure timely feedback of information retrieved from data analyses to project implementers in the countries
- Supervise MSc student thesis research projects and co-supervise PhD students
- Lead scientific studies based on N2Africa data and, when appropriate, modelling approaches that contribute to answering key research questions in the project
- Develop research on farm-scale modelling of benefits and trade-offs associated with increasing production of grain legumes
- Communicate results to a wide audience through scientific peer-reviewed papers
Eligibility
- Should have a PhD in farming systems, agronomy or crop/soil modelling or another topic that suits you to work on systems analysis and integration.
- Should have strong quantitative skills including experience with the analyses of complex multi-variable datasets, and thorough knowledge of tropical crops and smallholder farming systems.
- Should have a proven publication record in international journals and a wish to work closely with others in a team.
- Should have good communication skills, preferably with experience in teaching and student supervision at postgraduate level.
- Experience in writing of successful research proposals is an advantage.
To know more information on the research contact Prof Dr Ken E. Giller Tel: +31-317-485818 (This email address is being protected from spambots. You need JavaScript enabled to view it.) and for selection procedure contact Mrs. E. Siebelink (This email address is being protected from spambots. You need JavaScript enabled to view it.).
To apply for the post click here...