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About the position
At the World Agroforestry Geoscience Lab, we work with advanced remote sensing analysis and predictive modeling of a range of different land and ecosystem health indicators and ecological processes. Scientists and quantitative analysts work with in-house projects and across the Centre, supporting projects with data processing and analysis, as well as visualization of data. Using analytical rigor and statistical methods, including machine learning, your job will be to conduct data mining and analysis of field and remote sensing data to map deforestation in tropical ecosystems, and to assess and map disease prevalence in agroforestry systems. This will include assessments of spatial patterns and trends, and to some extent forecasting and assessments of risk. You will also work with our team of ecologists, soil scientists, hydrologists and remote sensing experts to assess interactions with soil and land health. Your job will be part of global efforts on assessments of land degradation and land restoration led by World Agroforestry, where you will contribute to data analytics and mapping for spatial targeting of interventions and analysis of temporal trends and breaking-points or ecosystem regime-shifts. You will work with Scientists, Data Analysts, Administrators and Project Managers to develop high quality journal papers, as well as analytical outputs and maps that help our clients and stakeholders make better management decisions.
Primary Duties and Responsibilities
1. Using analytical rigor and statistical methods, job will be to conduct data mining and analysis, and to develop user-friendly dashboard interfaces to often complex data and evidence.
2. Supervision of a team of junior data scientists and analysts.
3. Data processing and analytical tasks.
4. Assist in maintaining GSL landscape portal data.
5. Work with Scientists, Data Analysts, Administrators and Project Managers within the GSL team on various data analysis tasks using R statistics and Python.
6. Develop high quality decision dashboards that help our partners and stakeholders better manage data and make decisions based on available evidence.
Requirements
• MSc in Statistics, Econometrics, Quantitative Ecology or a related field.
• 5 years relevant industry or research experience.
• Experience in the analysis and modelling of data, including predictive models.
• Experience with R (experience with Python would be a plus)
• Experience with development of analytical tools and dashboard interfaces
• Familiarity with experimental design principles.
• Ability to draw conclusions from data and recommend actions.
• Familiarity with key principles of data visualization and graphical design.
• Experience with user-centered design.
• Demonstrated willingness to teach others and learn new techniques
Terms of offer
We offer a collegial, diverse and gender-sensitive working environment, and we strongly encourage applications from qualified women. This position is remunerated on local terms. The appointment will be for an initial period two (2) years renewable, subject to a six (6) months’ probation period.
How to apply
Go to http://worldagroforestry.org/working-for-icraf/vacancies
Applications will be considered until 17 July 2019. CV and Cover Letter should be in PDF and Labelled with the applicants First and Second Names. Please note that only short-listed applicants meeting the above requirements will be contacted.
