Your Job:
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 for agroecosystems,, high-fidelity virtual representations of agricultural ecosystems. These digital twins will enhance our understanding of ecosystem functioning, more specifically water 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:
1. Fly drones and process data of multispectral, thermal and LiDAR sensors
2. Implement approaches to integrate drone data into an existing agroecosystem data assimilation framework
3. Use radiative transfer models to translate spectral data into model state variables (, LAI, canopy temperature) and convert them into synthetic observations
4. Evaluate the performance of the data assimilation framework in controlled experiments and evaluate its potential for spaceborne remote sensing and larger landscape-scale applications
5. Improve simulation accuracy for key ecosystem variables such as gross primary productivity (GPP) and net ecosystem exchange (NEE)
6. Work with data from PhenoRob experimental field sites, equipped with Eddy Covariance towers, to generate digital twins and quantify model uncertainties
For further information visit our website or contact us via the contact form.
Your Profile:
7. Master’s degree in geography, remote sensing, geoscience, physics, computational geoscience, or related natural sciences with an overall grade of at least good
8. Experience in programming (, Phyton, Fortran)
9. Advanced knowledge of numerical methods
10. Experience with flying drones and drone data processing (thermal IR, multispectral, LiDAR), fieldwork experience
11. Strong English communication skills. Knowledge of the German language is considered an asset
12. Since the work involves interdisciplinary cooperation with several researchers and technicians, good communication and organizational skills are essential
13. Driver’s license and EU drone license is required (or should be obtained within first 3 months)
14. Fieldwork is required for manual soil and plant measurements in and transport of equipment to the field
15. Very good command of written and spoken English (at least B2 level according to the CEFR: ), ideally supported by a certificate confirming the language level.
Our Offer:
We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We offer ideal conditions for you to complete your doctoral degree:
16. Working in an interdisciplinary environment as well as excellent facilities for remote sensing research and numerical simulation and inversion
17. Opportunities to being part of the national and international scientific community
18. PhD students are encouraged to attend international conferences and a three-month research stay abroad with a cooperating partner is possible
19. Working in the heart of Europe
20. Partial remote (home office) work may be arranged/disscused with main supervisor approval, outside the growing season once fieldwork is completed
21. Dynamic and diverse working group and work environment
22. Your professional development is important to us – we support you specifically and individually, through training and networking opportunities specifically for doctoral candidates (JuDocS):
23. 30 days of annual leave
24. Targeted services for international employees, through our International Advisory Service
The position is for a fixed term and planned to run for 3 years with a potential extension of 1 year. Pay is in line with 70% of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund) and additionally a special payment („Christmas bonus“). All information about the TVöD-Bund collective agreement can be found on the BMI website (pay scale table on page 69 and following of the PDF download):