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- Aufgaben: Join us as a Research Associate to model agricultural systems and assess stress impacts on crops.
- Arbeitgeber: ZALF is a leading research institute focused on sustainable agriculture solutions.
- Mitarbeitervorteile: Enjoy a flexible work environment, competitive salary, and access to modern IT infrastructure.
- Warum dieser Job: Be part of an interdisciplinary team making a real impact in sustainable agriculture.
- Gewünschte Qualifikationen: MSc in Agriculture or related fields; programming skills in Python or similar required.
- Andere Informationen: Women and disabled candidates are encouraged to apply; part-time options available.
Das voraussichtliche Gehalt liegt zwischen 42000 - 60000 € pro Jahr.
The mission of the Leibniz Centre for Agricultural Landscape Research (ZALF) as a nationally and internationally active research institute is to deliver solutions for an ecologically, economically and socially sustainable agriculture – together with society. ZALF is a member of the Leibniz Association and is located in Müncheberg (approx. 35 minutes by regional train from Berlin-Lichtenberg). It also maintains a research station with further locations in Dedelow and Paulinenaue.
The project “EOAgriTwin” focuses on creating a comprehensive virtual replica of agricultural systems and improving the understanding of cropping systems under multiple stressors (biotic and abiotic). To support the activities of the project we are offering a full time position as soon as possible limited to till November, 30 2026 at our location in Müncheberg as
Research associate (f/m/d)105-2024
Your tasks:
- use of process-based modelling for drought and heat stress assessment through calibration and execution of the MONICA model
- use of models for pest assessment, as well as compounding and concurring effects
- assessment of management effects (e.g. irrigation) on crop production
- contribution to documents collaboratively created, such as papers, documentation, and reports
Your qualifications:
- University (MSc) degree in the field of Agriculture, Environmental science, Geosciences or related fields
- programming experience in Python or extensive experience in another high-level programming language is a prerequisite
- solid knowledge of crop stress physiology
- extensive experience in the development and application of crop models at a large scale
- record of publishing in peer-reviewed journals is an asset
- experience with Git and GitHub and Linux environment is desirable
What we offer:
- an interdisciplinary and solution-oriented working environment that encourages independence and self-reliance
- classification according to the collective agreement of the federal states (TV-L) up to E13 (including special annual payment)
- a collegial and open-minded working atmosphere in a dynamic research institution
- access to modern workspace with modern IT infrastructure (HPC)
- mobile work of max. 40% monthly working time is possible given reconciliation with the project requirements
- company ticket
Women are particularly encouraged to apply. Applications from severely disabled persons with equal qualifications are favored. The filling of the position in part-time is possible in principle. Please send your application preferably online (see button online application below). For e-mail applications, create a PDF document (one PDF file, max. 5 MB; packed PDF documents, archive files like zip, rar etc. Word documents cannot be processed and therefore cannot be considered!) with the usual documents, in particular CV, proof of qualification and certificates, stating the reference number105-2024 until January, 05 2025 to (see button e-mail application below).
If you have any questions, please do not hesitate to contact us: Dr. Gohar Ghazaryan , Tel. +49 (0) 33432 82-411
For cost reasons, application documents or extensive publications can only be returned if an adequately stamped envelope is attached. If you apply, we collect and process your personal data in accordance with Articles 5 and 6 of the EU GDPR only for the processing of your application and for purposes that result from possible future employment with the ZALF. Your data will be deleted after six months.
Leibniz Centre for Agricultural Landscape Research (ZALF),
Eberswalder Straße 84, 15374 Müncheberg, Germany
Contact of Human resource management:
#J-18808-Ljbffr
Research associate (f/m/d) Arbeitgeber: Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e. V.
Kontaktperson:
Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e. V. HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Research associate (f/m/d)
✨Tip Number 1
Familiarize yourself with the MONICA model and its applications in drought and heat stress assessment. Understanding this model will not only help you during the interview but also demonstrate your proactive approach to the role.
✨Tip Number 2
Engage with current research and publications related to crop stress physiology and process-based modeling. This will give you insights into the latest trends and challenges in the field, making you a more informed candidate.
✨Tip Number 3
Showcase any experience you have with collaborative projects, especially those involving Git and GitHub. Highlighting your teamwork skills and familiarity with version control systems can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your previous experiences with crop models and any relevant publications. Being able to articulate your contributions to past projects will demonstrate your expertise and commitment to the field.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Research associate (f/m/d)
Tipps für deine Bewerbung 🫡
Understand the Project: Familiarize yourself with the EOAgriTwin project and its objectives. This will help you tailor your application to demonstrate how your skills and experiences align with their mission of sustainable agriculture.
Highlight Relevant Experience: Emphasize your programming experience, particularly in Python or other high-level languages, as well as your knowledge of crop stress physiology and experience with crop models. Be specific about your past projects and contributions.
Prepare Your Documents: Ensure your application includes a well-structured CV, proof of qualifications, and any relevant certificates. Remember to create a single PDF document (max. 5 MB) for submission, as specified in the job description.
Follow Application Instructions: Submit your application online or via email, ensuring you include the reference number 105-2024. If applying by email, make sure your PDF is properly formatted and meets the size requirements to avoid processing issues.
Wie du dich auf ein Vorstellungsgespräch bei Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e. V. vorbereitest
✨Understand the Project Goals
Make sure you are familiar with the EOAgriTwin project and its objectives. Be prepared to discuss how your skills in process-based modeling and crop stress physiology can contribute to creating a virtual replica of agricultural systems.
✨Showcase Your Programming Skills
Highlight your programming experience, especially in Python or any other high-level language. Be ready to provide examples of past projects where you utilized these skills, particularly in relation to crop modeling or environmental assessments.
✨Discuss Your Research Experience
Prepare to talk about your previous research work, especially any publications in peer-reviewed journals. This will demonstrate your ability to contribute to collaborative documents and reports as required by the position.
✨Familiarize Yourself with Tools
If you have experience with Git, GitHub, or Linux environments, be sure to mention it. If not, consider brushing up on these tools, as they are desirable for the role and could set you apart from other candidates.
