KEY RESPONSIBILITIES
S/he will have the following main responsibilities:
Develop baseline land cover maps for all projects that have geo-referenced spatial boundaries at 30m and at very high resolution, where data are available.
Develop a regional-scale land cover map (30m)
Perform modelling and classification analyses using time-series datasets (e.g., climate, satellite, and reanalysis data) for ecosystem modelling and climate variability research, including generating customized code, based on R and Python, for large volume data processing and analysis
Capacity building for expanding the use of the data, methods and tools to other countries and regions
Contribute written input and technical guidance to the IAP project
Manage the highly visible, complex technical IAP project including meeting donor deadlines
Manage external partner relationships including development of capacity and generation of outputs to guide partners in making decisions.
Contribute to reporting structures as laid out in the IAP documentation and the preparation of the Annual Work Plan and Budget.
Undertake any other duties, within her/his area of competence, as assigned by CI as it relates to this project
QUALIFICATIONS
Advanced degree in remote sensing, geography or earth science.
7 or more years of experience in scientific research and/or managing remote sensing or research projects or initiatives.
Demonstrated scientific writing experience, including peer-reviewed publications
Proven ability in successfully interpreting and applying scientific information, data, models and developing creative solutions to achieve practical results.
Proven track record in project management design and implementation.
Proven team player able to work effectively across cultures and within and across organizations.
Excellent written and verbal communication skills in English
Highly organized and strong attention to detail.
Demonstrated problem solving skills and ability to build on existing knowledge to develop new approaches.
Excellent analytical skills.
Proficient in statistical and/or GIS software systems and procedures, and skilled in using new software applications
Proven technical expertise in habitat monitoring, land degradation methodologies and analyses, and ecosystem modeling using a range of remote sensing techniques, image sources, and GIS
WORKING CONDITIONS
Typical office environment but may require working in remote Africa locations.
Ability to work extended and irregular hours
Frequent travel over 30% may be necessary.
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