Opportunities

• Train and supervise field survey teams conducting systematic surveys of vegetation and soil condition.
• Contribute to the development of agro-ecological spatio-temporal databases of land and water health and human wellbeing metrics across CGIAR sites and regions, and contribute to the design of a pan-tropical network of sentinel sites and landscapes for long-term monitoring of natural resources and human wellbeing.
• Carry out multilevel statistical analysis of ecological data. 
• Develop scientific workflows and spatial models, including linking geo-referenced field and laboratory data with remote sensing and GIS data.
  Interpret the above data for design and assessment of intervention strategies, practices and policies for reducing and reversing risks to land health and improving landscape management.
• Contribute to capacity building and training courses for stakeholders in data collection, analysis and interpretation.
• Publish results in journal articles, assessment reports, electronic atlases and web-based forms.
• Lead and participate in funding proposals to extend the above areas of research.
• Develop external collaborative links and projects with centres of excellence in the area of evidence-based natural resources management and represent the Centre in relevant conferences.

 Qualifications:

• A PhD in landscape ecology, natural resources management or related field.
• At least 3 years postgraduate experience in landscape ecology, including experience in tropical developing countries.
• Publication record in landscape analysis integrating ground survey and remote sensing data.
• Teaching/training experience.
• Good knowledge of the linkages between land/soil and water management, land use change, ecosystem services, and human well-being in the tropics.
• Ability and stamina to conduct geo-referenced ground surveys in remote areas.
• Well-developed knowledge and skills in geoinformatics, including remote sensing, geographical information systems, and database management.
• Statistical analysis skills in multivariate and spatio-temporal analysis of ecological data.
• Knowledge of R and Bayesian statistical modelling and experience in field and lab based spectrometry will be a distinct advantage.
• Leadership, management and communication skills in multicultural settings.
• Excellent verbal and written English skills, and knowledge of another language commonly used in Africa, Asia or Latin America is desirable.

We offer a collegial, diverse and gender-sensitive working environment, and we strongly encourage applications from qualified women. This position is remunerated on international terms. The appointment will be for an initial period of three (3) years, subject to a nine (9) month probation period. 

Interested Candidates May Send their Resume at:  This email address is being protected from spambots. You need JavaScript enabled to view it.