Your Job:
The work is part of the joint project “Towards sustainable production by regenerative agriculture and agroecology in a changing climate” (ReGenFarm). Together with Bayer Crop Science, IBG-3 and IBG-4 work in action field 4 to establish a molecular basis of carbon storage in soil. The research relates structural-physical properties with chemical and biochemical analyses at the molecular level to identify biomolecules (organic "glue" compounds) that promote soil structure and carbon storage. These data will be connected with genetic pathways of microorganisms that produce them to establish a robust functional baseline of “glue” compound production in healthy soil. This pathway-focused reference enables the identification of novel microbial biosynthetic gene clusters, fostering our understanding of how genomic architectures drive soil carbon sequestration and will highlight microbial biodiversity suited to specific soils and climates, paving the way for more sustainable soil management practices.
Within this framework you will:
1. extend and use a process-based modeling approach which explicitly represents microorganisms and biomolecule functioning in soil systems.
2. use process-based modeling and machine learning to establish a modeling framework that uses omic data for providing effective degradation rates of biomolecules and predictions of their impact on soil organic matter turnover, which will be used to inform the digital twin for regenerative agriculture developed in action field 1 of ReGenFarm.
3. work in an interdisciplinary team with other doctoral and postdoctoral researchers within action field 4 and other action field of the ReGenFarm.
Your tasks in detail:
4. Extend a bioenergetic process-based model to include the decomposition of specific biomolecules and their effects on soil organic matter cycling
5. Literature research and (meta-)analysis to provide evidence-based knowledge for model parameterization
6. Quantify the coupled carbon and energy turnover of specific biomolecules (carbohydrates and proteins) in short-term decomposition experiments
7. Model conditioning with integrated biogeochemical and omic data on carbon cycling in soil
8. Derive effective process descriptions and model approaches for the integration with the digital twin for regenerative agriculture
9. Perform scenario simulations and analyze simulation results
10. Present and publish results at conferences and in peer-reviewed journals
Your Profile:
11. Master’s degree in soil chemistry, bioengineering, biochemistry, bioinformatics, or applied mathematics
12. Hands-on experience in using differential calculus
13. Solid knowledge in soil physics, microbial ecology, plant nutrition, plant physiology, plant ecology, biochemistry, and/or bioinformatics
14. Strong interest in using process-based mathematical modeling to simulate biogeochemical processes related to carbon cycling in the soil-plant system
15. Experience with Bayesian inference and machine learning is an asset
16. Ability to work independently and cooperatively as part of an interdisciplinary team
17. Very good communication and organizational skills
18. Very good command of the English language
Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be able to teach you missing skills during your induction.
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:
19. Competent and interdisciplinary working environment, as well as an excellent framework in the areas of experiments and modelling
20. Vibrant international work environment on an attractive research campus, ideally situated between the cities of Cologne, Düsseldorf and Aachen
21. Attendance at national and international conferences and workshops
22. Possibility for further scientific and technical training through international experts
23. Exceptional research infrastructure
24. Flexible working hours
25. 30 days of annual leave and provision for days off between public holidays and weekends ( between Christmas and New Year)
26. Special services for international employees through our International Advisory Service
27. Further development of your personal strengths, 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:
The employment of doctoral researchers at Jülich is governed by a doctoral contract, which usually has a term of three years. Pay is in line with 65% of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund) and additionally 60 % of a monthly salary as special payment („Christmas bonus“). The monthly salaries in euro can be found on the BMI website: