CRSA - Postdoc in Global drivers of key soil characteristics in drylands

Karlstad University; Occitanie; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

An innovative research institution is seeking a Postdoc to explore key drivers of soil characteristics in drylands. This role involves developing advanced modeling frameworks and utilizing cutting-edge remote sensing techniques to analyze critical topsoil properties. The successful candidate will engage in high-impact research, contributing to the understanding of environmental challenges related to climate change and food security. This position offers an exciting opportunity to be part of a dynamic team dedicated to impactful research in sustainable resource management. Join a forward-thinking institution committed to making a difference in global dryland ecosystems.

Qualifications

• PhD in relevant fields with strong experience in soil sciences and remote sensing.
• Demonstrated ability in handling large geospatial datasets.

Responsabilités

• Develop innovative modeling frameworks for analyzing topsoil properties.
• Process large-scale geospatial datasets using HPC systems.

Connaissances

Soil Science

Remote Sensing

Environmental Science

Data Analysis

Programming (Python, R)

GIS Tools (QGIS)

Formation

PhD in Soil Science

PhD in Remote Sensing

PhD in Environmental Science

Outils

High Performance Computing (HPC)

QGIS

Description du poste

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CRSA - Postdoc in Global drivers of key soil characteristics in drylands

Mohammed VI Polytechnic University is an institution oriented towards applied research and innovation with a focus on Africa.

University Mohammed VI Polytechnic 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 Morocco's 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.

About CRSA

Center for Remote Sensing Application (CRSA) is a transversal structure across several UM6P Programs. Research within CRSA is organized around several major areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their interaction with climate and humans, with emphasis on sustainable management of natural resources (soil, land, water, agriculture) in the context of Climate Change. One of center’s goals is to provide a set of services and operational products to users (local, national and international) that aid in the decision support of water and food systems.

Global drylands are rapidly expanding, bringing with them increasing risks of desertification, salinization, and accelerated soil erosion caused by wind and water, which have significant impacts on the carbon and phosphorus cycles. This position focuses on investigating the key drivers influencing topsoil chemical properties in drylands worldwide and analyzing their spatial distribution. The research will utilize innovative remote sensing techniques, advanced modeling frameworks, and cutting-edge datasets to enhance our understanding of the spatial dynamics of these critical chemical properties in global dryland ecosystems.

Key responsibilities

• Develop innovative modeling frameworks to analyze and understand the drivers and spatial distribution of critical topsoil properties in global drylands.
• Process large-scale geospatial and remote sensing datasets using High Performance Computing (HPC) systems.
• Conduct data analysis, and prepare reports, ensuring results are published in high-impact, peer-reviewed journals.
• Actively participate in scientific events, including workshops and conferences, to present findings and engage with the broader research community.

Experience and Qualifications

• PhD in Soil Science, Remote Sensing, Environmental Science or a related field.
• Strong experience in Soil sciences (e.g., physics, chemistry, pedology).
• Demonstrated experience in advanced digital soil mapping and remote sensing.
• Experience with handling large geospatial datasets using High Performance Computing (HPC).
• Advanced programming (e.g., Python, R) and GIS tools (e.g., QGIS) experience.
• Strong publication record related to current position.