Remote Sensing Analysts at Conservation International

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.