Field Technician for remote sensing - Benguerir
Company sector : Education / Training
COMPANY :
Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Moroccos frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally.
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Company culture :
UM6P – Mohammed VI Polytechnic University operates within a strongly innovation-driven culture, where creativity, experimentation and intellectual boldness are key foundations. The university promotes initiative, openness and autonomy in a stimulating environment focused on research, entrepreneurship and impact. This innovative mindset is reinforced by a solid cooperative dimension, fostering collaboration, knowledge sharing and human development. A clear focus on performance and excellence further supports this culture, while formal processes remain lighter to maintain agility and flexibility.
Job :
Position Overview: Field Technician in Soil and Crop Data Management
We are seeking a motivated and detail-oriented Field Technician in Soil and Crop Data Management to support research projects focused on the acquisition, organization, and preprocessing of field-based soil and crop type data. The technician will be responsible for coordinating and conducting field surveys, handling sample logistics, and maintaining a structured geospatial database to support ongoing research in agricultural monitoring and sustainable land use.
Required profile :
Key Responsibilities
Field Data Collection
Conduct field missions to collect soil and crop type information using standardized protocols.
Record accurate metadata, including geolocation, crop phenological stages, soil condition, and agronomic practices.
Support the collection of auxiliary data such as photographic documentation, surface residue, and management history.
Sample Handling and Processing
Assist in soil sample collection and field labeling.
Ensure appropriate sample preservation and transport for downstream laboratory analysis.
Conduct preliminary measurements such as texture-by-feel or color assessment when relevant.
Assist UAV piloting and handling.
Data Management and Preprocessing
Enter, organize, and validate collected field data within centralized geospatial databases.
Perform quality checks on incoming data.
Support preprocessing tasks such as coordinate system transformations, spatial joins, or data formatting for modeling workflows.
Coordination and Support
Collaborate with researchers, GIS analysts, and data scientists to align field campaigns with project objectives.
Help document field methodologies, sample tracking systems, and data workflows.
Support logistics planning for fieldwork.
Required Qualifications
Bachelors degree or technical diploma in Agronomy, Soil Science, Environmental Science, Geography, or related field.
Experience in agricultural fieldwork and data collection protocols.
Familiarity with GPS-enabled tools, mobile data collection apps, and basic mapping tools.
Good organizational and documentation skills.
Ability to work independently in outdoor settings and coordinate with a multidisciplinary team.
Desirable Skills
Basic knowledge of geospatial data formats and GIS software (QGIS, ArcGIS).
Experience with database management and data cleaning.
Understanding of soil-crop interactions and agricultural land use.
Basic scripting in Python or R for data wrangling is a plus.
Work Environment
Primarily field-based during data collection campaigns, with periodic work in an office or lab environment.
Interaction with a multidisciplinary team of agronomists, soil scientists, remote sensing specialists, and data engineers.
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