Reference number: 100107Job status: In-progressJob category: Global PositionDuty station: Nairobi, KenyaDownload PDF: 

CIFOR-ICRAFThe Center for International Forestry Research (CIFOR) and World Agroforestry (ICRAF) envision a more equitable world where trees in all landscapes, from drylands to the humid tropics, enhance the environment and well-being for all. CIFOR and ICRAF are non-profit science institutions that build and apply evidence to today’s most pressing challenges, including energy insecurity and the climate and biodiversity crises. Over a combined total of 65 years, we have built vast knowledge on forests and trees outside of forests in agricultural landscapes (agroforestry). Using a multidisciplinary approach, we seek to improve lives and to protect and restore ecosystems. Our work focuses on innovative research, partnering for impact, and engaging with stakeholders on policies and practices to benefit people and the planet. Founded in 1993 and 1978, CIFOR and ICRAF are members of CGIAR, a global research partnership for a food secure future dedicated to reducing poverty, enhancing food and nutrition security, and improving natural resources.

CIFOR-ICRAF is looking for a

Under the supervision of the head of SPACIAL the Spatial Data Scientist – Remote Sensing will lead and implement advanced remote sensing analysis tasks, including processing of optical and SAR data, timeseries analysis, and predictive modeling with primary focus on the modeling of temporal dynamics across complex landscapes. The position will support a range of projects and programmes across CIFOR-ICRAF, including Regreening Africa, Knowledge for Great Green Wall Action (K4GGWA). Towards Ending Drought Emergencies (Twende), and upcoming assessments of soil and land health with funding from NORAD.

Spatial data science

Capacity development

Stakeholder engagement

Various other tasks

Education, knowledge and experience

•MSc degree in remote sensing and spatial data science is required with proven ability to conduct highly complex analytical tasks.

•Advanced computer programming skills in R Statistics, some knowledge of Python and/or Julia, database technologies, and data management.

•This is a Globally Recruited Staff (GRS) position. CIFOR-ICRAF offers competitive remuneration in USD, commensurate with skills and experience.•The appointment will be for two (2) year period, inclusive of a six-month probationary period, with the possibility of extension contingent upon performance, continued relevance of the position and available resources.•The duty station will be in Kenya, Nairobi.