Visiting Researcher Digital Soil Mapping
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Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
Visiting Researcher
Digital Soil Mapping (DSM)
Multifunctional Landscapes
The Organization
The Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT) delivers research-based solutions that harness agricultural biodiversity and sustainably transform food systems to improve peoples lives. Alliance solutions address the global crises of malnutrition climate change biodiversity loss and environmental degradation. With novel partnerships the Alliance generates evidence and mainstreams innovations to transform food systems and landscapes so that they sustain the planet drive prosperity and nourish people.
The Alliance is part of CGIAR a global research partnership for a food-secure future.
About this fellowship
The Multifunctional Landscapes research area is seeking a masters or Ph.D. student in agronomy agricultural engineering soil science geomatics or related fields with an emphasis on digital soil mapping spatial modeling and/or data science to support the development of digital soil maps of physicochemical properties for the Alliance BioversityCIAT Campus in Palmira Colombia.
The selected Visiting Researcher will contribute to sustainable campus management strategies by collecting processing and analyzing soil remote sensing climate and related geospatial datasets as well as developing spatial prediction algorithms based on Digital Soil Mapping (DSM) approaches according to their project thesis.
The Visiting Researcher will be based at the Americas Hub located on the Palmira Campus Colombia.
Requirements
Activities
- Gathering cleaning processing and standardization of geospatial data.
- Data analysis of laboratory and geospatial data.
- Development of algorithms and digital soil maps using DSM approach.
- Definition of soil health indicators to be monitored based on digital soil maps uncertainty layers and environmental covariates.
- Design of protocols and strategies for soil sample collection and laboratory analyses to support soil health monitoring.
- Preparation of technical reports presentation of results and participation in progress meetings.
- Eventually support in field data collection activities.
Education and Requirements
- Masters or Ph.D. student in agronomy agricultural engineering soils geomatics or related fields with an emphasis on digital soil mapping spatial modeling and/or data science.
- Basic use of R Python or Google Earth Engine.
- Basic use of Geographic Information Systems (GIS) software: ArcGIS or QGIS.
- Experience handling analyzing and interpreting geospatial and remote sensing data.
- Experience in statistics.
- Intermediate proficiency in Microsoft Office.
- Ability to write and prepare technical and scientific reports.
Skills and competencies
- Advanced communication skills
- Teamwork and collaboration
- Attention to detail
- Proactivity and critical thinking
- Time planning and organization
Benefits
Terms of employment
This is an international Visiting Researcher role and will be managed through a fixed term agreement of a one (8) months period.
We are an equal opportunity organization and strive for gender diversity and inclusion in our staff without regard to race color religion gender gender identity sexual orientation national origin ethnicity age disability marital status or any other characteristic.
Applications
Applicants are invited to send a cover letter illustrating their suitability for the above position against the qualifications competencies and skills together with a detailed curriculum vitae including names and addresses of three referees knowledgeable about the candidates professional qualifications and work experience. All correspondence should be addressed to the following link:
Candidates must be in a postgraduate education program to apply.
We invite you to learn more about us at:
Careers Alliance Bioversity International - CIAT ()
Required Skills:
Activities Gathering cleaning processing and standardization of geospatial data. Data analysis of laboratory and geospatial data. Development of algorithms and digital soil maps using DSM approach. Definition of soil health indicators to be monitored based on digital soil maps uncertainty layers and environmental covariates. Design of protocols and strategies for soil sample collection and laboratory analyses to support soil health monitoring. Preparation of technical reports presentation of results and participation in progress meetings. Eventually support in field data collection activities. Education and Requirements Masters or Ph.D. student in agronomy agricultural engineering soils geomatics or related fields with an emphasis on digital soil mapping spatial modeling and/or data science. Basic use of R Python or Google Earth Engine. Basic use of Geographic Information Systems (GIS) software: ArcGIS or QGIS. Experience handling analyzing and interpreting geospatial and remote sensing data. Experience in statistics. Intermediate proficiency in Microsoft Office. Ability to write and prepare technical and scientific reports. Skills and competencies Advanced communication skills Teamwork and collaboration Attention to detail Proactivity and critical thinking Time planning and organization
Key Skills
- Intelligence Community Experience
- Python
- Spss
- Microsoft Word
- R
- Regression Analysis
- Windows
- Stata
- Microsoft Powerpoint
- Research Experience
- Data Modeling
- Writing Skills
