Summary
Date Posted: Thursday, April 14, 2022 , Base Salary: Not Disclosed

JOB DETAILS:
Postdoctoral Research Fellow
Overall purpose of the job
The successful applicant will be responsible for:
Conducting dynamic and cutting-edge research in geospatial and remote sensing modelling for monitoring robusta coffee pests and diseases.
Contributing to the understanding of the distribution and the seasonal dynamics of the robusta coffee and other tree interactions in coffee agroforestry systems.
(Ref. No. IRS/489/042022)
• Geospatial characterisation of the robusta coffee agroforestry systems in Uganda.
• Specific duties
• The successful candidate is expected to:
• Acquire multi-source remotely sensed data for monitoring and modelling of robusta coffee pests and diseases.
• Design and use open data collection technics/ tools to gather field observations on Robusta coffee pests and diseases.
• Predict the current epidemic risk evaluation (dynamic maps) for major robusta coffee pests and diseases in Uganda.
• Simulate (through modelling) the future robusta coffee pest and disease risk according to various climate change scenarios.
• Characterise robusta coffee agro-system at a landscape scale using optical and radar satellite systems of different spatial resolutions.
• Estimate the robusta coffee landscape structure metrics using geospatial modelling techniques.
• Provide geospatial information that contributes to the designing of the integrated pest management
• (IPM) strategy of robusta coffee pests.
• Actively engage in resource mobilisation and proposal development.
Requirements/qualifications
• PhD in Geoinformation and Earth Observation, Environmental Sciences, Ecology, or any related field with an emphasis on GIS, remote sensing, and geospatial modelling.
• Extensive knowledge and experience in ecological niche modelling.
• Experience in using optical and radar satellite systems.
• Demonstrated experience in crop and yield modelling.
• Demonstrated experience in the use of Google Earth Engine and R programming language.
• Experience in designing and using open data collection tools for field data collection.
• Experience in working in dynamic landscape systems.
• Excellent publication track record.
• A high degree of organisation, adaptability, and prioritisation.
• Experience in capacity building through mentorship of MSc and undergraduate students.
• Excellent communication skills.

Core competencies
• Demonstrated experience in ensemble species distribution modelling.
• Experience in processing and analysing ‘big’ satellite data using semi-automated procedures.
• Experience in modelling different insect pest dynamics.
• Reporting
• This position reports to the Research Scientist, Data Management Modelling and Geoinformation (DMMG) Unit

Education Requirement: No Requirements

Job Experience: No Requirements

Work Hours: 8

Job application procedure
This position is open until 12th May 2022. Interested applicants should submit:
• a confidential cover letter;
• a detailed CV with names and addresses of 3 referees (including e-mail addresses);
• a statement illustrating suitability against the listed qualifications/ competencies/abilities and skills; two published papers

Candidates are required to apply online through: http://recruit.icipe.org or by email: recruitment@icipe.org
Interested and qualified? Go to icipe - African Insect Science for Food and Health on recruit.icipe.org to apply

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