Scientist (f/m/d)

Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e. V.; Müncheberg; Vor Ort; EUR 50.000 - 65.000; Teilzeit

Zusammenfassung

Das Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) sucht einen Scientist (m/w/d) für die Forschungsplattform "Datenanalyse und Simulation". In einem interdisziplinären Team entwickeln Sie innovative Modelle für Agroforstlandschaften. Wir bieten eine aufgeschlossene Arbeitsatmosphäre in einer dynamischen Einrichtung, flexible Arbeitszeiten sowie Möglichkeiten zur Weiterbildung.

Leistungen

Interdisziplinäre Arbeitsumgebung

Öffentliches Verkehrsticket

Flexible Arbeitszeiten

Budget für Konferenzen

Inhouse Sprachkurse in Deutsch und Englisch

Qualifikationen

• Abgeschlossenes Masterstudium notwendig.
• Gute Englischkenntnisse erforderlich, Bereitschaft zur Teilnahme an Deutschkursen.
• Erfahrung mit Crop- oder Forest Modellen wünschenswert.

Aufgaben

• Entwicklung eines integrierten Modellrahmens für Agroforstlandschaften.
• Bewertung von Synergien in der räumlichen Anordnung von Landschaftselementen.
• Formulierung von Szenarien für zukünftige klimatische und sozioökonomische Bedingungen.

Kenntnisse

Java Programmierung

Python Programmierung

Remote Sensing Anwendungen

Deep Learning Modelle

Ausbildung

Masterabschluss in Agrarwissenschaft oder Forstwissenschaft

Jobbeschreibung

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 position will be located in the Research Platform “Data Analysis and Simulation” within the Working Group “Multi-Scale Modelling” under the project “Supporting Agroecological Transitions of Agroforestry Landscapes using an Innovative Transdisciplinary Assessment Framework”- AGRECO4CAST, aiming to co-design a standardized assessment framework for Living Lab (LL) innovations, that fosters a coherent, successful integration of agroecological principles in agroforestry landscapes characterized by perennial cropping systems, such as vineyards, olive- or fruit orchards, across European countries.

We are offering, subject to final confirmation by the funding organization, a temporary 65% part -time position, limited until June 31st, 2028, at our location in Müncheberg, Germany as

Scientist (f/m/d)
38-2025

The successful candidate will:

• Develop and implement an integrated modelling framework within SIMPLACE (https://www.simplace.net/index.php) for agroforestry landscapes, incorporating perennial cropping systems (e.g., fruit trees, olives, vines) with appropriate input/output formatting and model linkages.
• Assess options for synergies from optimizing spatial configurations of landscape elements across farms and formulate scenarios that account for different climatic and socio-economic future conditions.

The call is addressed to dynamic and highly motivated researchers with a MSc level knowledge in agricultural or hydrological sciences, with sound expertise in Remote sensing applications, big data integration, developing and applying deep learning models, and understanding of hybrid modelling concepts. Strong Java programming skills are mandatory.

Your qualifications:

• a completed master's degree in the field of Agriculture Science or Forest Science
• programming experience in Java and Python
• as an internationally research institution, located in Germany we require good to very good written and spoken English skills and the willingness to take part in further training as part of the language courses in German offered internally
• experience with Crop models or Forest models, and Machine learning is desirable

What we offer:

• an interdisciplinary 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
• ZALF offers a company ticket for public transport
• flexible working hours and family-friendly conditions (mobile work of max. 40% monthly working time is possible given reconciliation with the project requirements)
• budget for conferences, meetings
• in-house language courses in German and English

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 number38-2025 until 30th June 2025 to (see button e-mail application below).

If you have any questions, please do not hesitate to contact Dr. Amit Kumar Srivastava, Tel. [phone].

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: [e-mail]

www.zalf.de