The PhD position is offered within the Cluster of Excellence PhenoRob – Robotics and Phenotyping for Sustainable Crop Production. We are looking for a highly motivated PhD candidate to join our world-leading research program in robotics, remote sensing, and data-driven approaches for sustainable agriculture. PhenoRob’s mission is to transform crop production by optimizing breeding and farm management through innovative sensing technologies, advanced modeling, and intelligent automation.
This PhD project contributes to PhenoRob’s initiative to develop digital twins, i.e., high-fidelity virtual representations of agricultural ecosystems. These digital twins will enhance our understanding of ecosystem functioning and carbon fluxes, supporting the design of more sustainable and resilient crop production systems. The project will focus on integrating high-resolution drone-based remote sensing data, including multispectral and thermal imagery as well as LiDAR measurements, into ensemble agroecosystem model simulations. The successful candidate will play a key role in developing robust landscape-scale digital twins and advancing data assimilation techniques for agricultural and environmental applications.
You will be part of a dynamic research team applying advanced remote sensing and simulation methods to study soil-vegetation-atmosphere interactions. Your main responsibilities will include:
- Fly drones and process data of multispectral, thermal and LiDAR sensors
- Implement approaches to integrate drone data into an existing agroecosystem data assimilation framework
- Use radiative transfer models to convert model state variables (e.g., LAI, canopy temperature) into synthetic observations
- Evaluate the performance of the data assimilation framework in controlled experiments and evaluate its potential for spaceborne remote sensing and landscape-scale applications
- Improve simulation accuracy for key ecosystem variables such as gross primary productivity (GPP) and net ecosystem exchange (NEE)
- Work with data from PhenoRob experimental field sites, equipped with Eddy Covariance towers, to generate digital twins and quantify model uncertainties.
Table of Content
Summary
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Benefits
- Working in an interdisciplinary environment as well as excellent facilities for remote sensing research and numerical simulation and inversion
- Opportunities to being part of the national and international scientific community
- PhD students are encouraged to attend international conferences and a three months research stay abroad with a cooperating partner is possible
- Working in the heart of Europe
- Dynamic and diverse working group and work environment
- Your professional development is important to us – we support you specifically and individually e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs
- 30 days of annual leave
- Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/en/judocs
- Targeted services for international employees, e.g. through our International Advisory Service
Requirements
- Master’s degree in geography, remote sensing, geoscience, physics, computational geoscience, or related natural sciences with an overall grade of at least good
- Experience in programming (e.g., Phyton, C/C++)
- Advanced knowledge of numerical methods
- Experience with flying drones and drone data processing (thermal IR, multispectral, LiDAR), fieldwork experience
- Strong English communication skills
- Since the work involves interdisciplinary cooperation with several researchers and technicians, good communication and organizational skills are essential
- Drivers license and EU drone license is required (or should be obtained within first 3 months)
- Physical work is required for manual soil and plant measurements in and transport of equipment to the field
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Application Deadline
Not SpecifiedHow To Apply
Are you qualified and interested in this opportunity? Kindly go to
Forschungszentrum Jülich on www.fz-juelich.de to apply
For more inormation, kindly visit FZ Juelich webpage.
