PhD Position in Remote Sensing: The Leibniz Centre for Agricultural Landscape Research (ZALF) is offering a PhD position focused on enhancing soil health and crop resilience through remote sensing and machine learning techniques. This opportunity involves working within the “SOILRES” project to develop interventions based on soil-plant-microbiota interactions, contributing to sustainable agricultural practices.
PhD Position in Remote Sensing for Soil Organic Carbon and Tillage Assessment
Designation
PhD Position in Remote Sensing for Soil Organic Carbon and Tillage Assessment (F/M/D)
| Details | Information |
|---|---|
| Research Area | Soil Organic Carbon Assessment, Remote Sensing, Tillage Mapping |
| Location | Müncheberg, Germany |
| Eligibility/Qualification | – Completed Master’s degree in Agriculture, Environmental Science, Geosciences or related fields |
| – Programming experience in Python or another high-level programming language | |
| – Experience in geospatial data science, remote sensing, GIS, and open-source software | |
| – Strong interest in scientific writing and excellent command of English | |
| – Experience with Git, GitHub, and Linux environment is desirable |
Description
The successful candidate will be responsible for processing multisource satellite and UAV-based data, applying and developing models for tillage mapping and monitoring, and contributing to scientific documents such as papers and reports. This position encourages independence and self-reliance within an interdisciplinary working environment and offers an attractive salary according to the collective agreement (TV-L) up to E13.
How to Apply
Interested candidates should submit their application, preferably online, or via email by creating a single PDF document (maximum 5 MB) that includes a CV, proof of qualification, and certificates. Please state the reference number 21-2025 in your application.
Contact Information:
- Dr. Gohar Ghazaryan
- Tel: +49 (0) 33432/82-411
- Email: Gohar.ghazaryan@zalf.de
Last Date for Apply
Applications should be submitted by 15 April 2025.
