Finde einen Job 
Finde eine Ausbildung 
Top Arbeitgeber 
Top Universitäten 
Für Unternehmen Auf einen Blick
- 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 innovative projects that make a real impact on agriculture and the environment.
- Gewünschte Qualifikationen: MSc in Agriculture or related fields, programming skills in Python, and experience with crop models required.
- Andere Informationen: Women and disabled applicants are encouraged to apply; part-time options available.
Das voraussichtliche Gehalt liegt zwischen 36000 - 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 specific model will give you a significant advantage during the interview process.
✨Tip Number 2
Engage with current research and publications related to crop stress physiology and agricultural modeling. Being able to discuss recent findings or trends in your interview will demonstrate your passion and knowledge in the field.
✨Tip Number 3
Showcase any experience you have with collaborative projects, especially those involving Git and GitHub. Highlighting your ability to work in a team-oriented environment will align well with ZALF's interdisciplinary approach.
✨Tip Number 4
Prepare to discuss how you've applied programming skills, particularly in Python, to solve real-world problems in agriculture or environmental science. Concrete examples will help illustrate your technical capabilities.
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. Highlight your understanding of agricultural systems and how your skills can contribute to creating a virtual replica of these systems.
Tailor Your CV: Make sure your CV emphasizes your MSc degree in Agriculture, Environmental Science, or related fields. Include relevant programming experience, particularly in Python, and any publications in peer-reviewed journals.
Craft a Strong Cover Letter: Write a cover letter that clearly outlines your qualifications and experiences related to crop stress physiology and modeling. Mention your familiarity with Git, GitHub, and Linux environments, as these are desirable skills for the position.
Follow Application Guidelines: Ensure your application is submitted online or as a single PDF document (max. 5 MB) if applying via email. Include all required documents such as your CV, proof of qualifications, and certificates, and reference the job number 105-2024.
Wie du dich auf ein Vorstellungsgespräch bei Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e. V. vorbereitest
✨Understand the Project Goals
Make sure you familiarize yourself with the EOAgriTwin project and its objectives. Being able to discuss how your skills in process-based modeling and crop stress physiology can contribute to the project's success will impress the interviewers.
✨Showcase Your Programming Skills
Since programming experience in Python is a prerequisite, be prepared to discuss your past projects or experiences where you've utilized Python or other high-level programming languages. Highlight any specific models you've worked on, especially related to agricultural systems.
✨Prepare for Technical Questions
Expect technical questions related to crop modeling, drought and heat stress assessment, and pest management. Brush up on relevant theories and methodologies, and be ready to explain how you would apply them in practical scenarios.
✨Demonstrate Collaborative Spirit
ZALF values collaboration, so be ready to share examples of how you've successfully worked in teams to produce documents, papers, or reports. Emphasize your ability to communicate effectively and contribute to a collegial working atmosphere.
