Job
- Level
- Experienced
- Location
- Jülich
- Working Model
- Hybrid, Onsite
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Temporary employment
Job Summary
In this role, you will develop agroecosystem digital twins, integrate real-time data, and enhance modeling approaches to simulate water, carbon, and nutrient fluxes at field and farm scales.
Job Technologies
Your role in the team
- You will contribute to the development of field- and farm-scale agroecosystem digital twins within our interdisciplinary and international research team.
- The position is embedded in the PhenoRob2 Core Project 6, which aims to fuse information from advanced sensing technologies with process-based and data-driven models across spatial and temporal scales.
- Further development and application of the AgroC agroecosystem model for simulating water, carbon, nutrient and energy fluxes at the field and farm scale.
- Integration of AgroC with the Parallel Data Assimilation Framework (PDAF) and development of suitable observation operators.
- Development of workflows for the integration of near-real-time observations of crop growth, crop stress, hydrological states and fluxes, and nutrient dynamics into agroecosystem digital twins.
- Development and application of data-driven, surrogate and hybrid modelling approaches to complement process-based agroecosystem modelling and enable efficient digital twin applications.
- Application of digital twins at selected PhenoRob experimental sites to investigate crop performance, ecosystem functions and trade-offs between ecosystem services under different management options.
- Enge Zusammenarbeit mit Wissenschaftlern und Doktoranden im Rahmen des Core Project 6 sowie aus anderen PhenoRob2-Kernprojekten.
- Dissemination of research results through scientific publications, presentations at international conferences, and contributions to collaborative research proposals.
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Our expectations of you
Education
- Masters with subsequent PhD degree in environmental sciences, geosciences, agricultural sciences, computational sciences, applied mathematics, physics or a related field.
Qualifications
- Stark ausgeprägte Erfahrung in Agro-Ökosystem-, hydrologischem oder Umweltmodellierung und/oder wissenschaftlichem Computing.
- Sehr gute Programmierkenntnisse in Python und/oder Fortran; Kenntnisse in weiteren Programmiersprachen sind von Vorteil.
- Ability to work independently as well as collaboratively in a highly interdisciplinary research environment.
- Starke Kommunikations- und wissenschaftliche Schreibfähigkeiten.
- Excellent command of written and spoken English (at least C1 level according to the CEFR: https://go.fzj.de/languagerequirements), ideally supported by a certificate confirming the language proficiency. Knowledge of the German language is not mandatory but a plus.
Experience
- Experience in the development and application of process-based models and/or model-data fusion and data assimilation methods.
- Experience with Linux/UNIX-based scientific computing environments and modern software development practices.
- Experience with parallel computing and high-performance computing is an advantage.
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What we offer
- The position offers a varied and diverse role in an international environment.
- Optimal conditions for balancing work and private life, as well as a family-friendly company policy.
- The option of flexible working (in terms of location) is generally available after consultation and in line with upcoming tasks and (on-site) appointments.
- You will receive 30 days of vacation plus additional days off (e.g., between Christmas and New Year's).
- Flexible working time models, including options close to full-time, allow you to tailor your working hours to suit your individual needs.
- Your professional development is important to us - we provide targeted, individual support.
- Your health is important to us. You can look forward to a comprehensive occupational health management program with a wide range of offerings - e.g., a beach volleyball court, running groups, yoga classes, and much more.
- In addition, our company medical service and an experienced social counseling team are available to assist you on site.
- Our research campus in the countryside creates ideal conditions for collegial exchange and sporting activities right on site.
- Our cafeteria offers a wide range of options—you can enjoy a relaxing lunch break with a lake view.
- It is important to us that you quickly settle into the team and are given structured training for your tasks.
- We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide.
- Our International Advisory Service makes it easier for international employees to get started.
- You will receive explicit support regarding your career development opportunities.
- Depending on your existing qualifications and the tasks assigned to you, you will be classified in pay grade 13 of the TVöD-Bund (Collective Agreement for the Public Service).
- All information on the TVöD-Bund collective agreement can be found on the BMI website.
- The monthly salaries in euros can be found on page 74 of the PDF download.
- Profitieren Sie von attraktiven Zusatzleistungen wie einer betrieblichen Altersvorsorge mit Arbeitgeberzuschuss.
- In addition to the basic salary, there is an additional year-end bonus under the collective pay agreement.
- The position is limited until December 31, 2030.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Forschungszentrum Jülich GmbH
Forschungszentrum Jülich is a member of the Helmholtz-Gemeinschaft, making it an effective contributor to solving big challenges our society faces in the realms of information technology, energy, and bioeconomics.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Education System, Science, Research
Postdoctoral Researcher - Agroecosystem Modeling and Digital Twins
- Location
- Jülich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
