Post-doc Scientist (m/f/d) on AI and Agent-based methods in Agriculture

Post-doc Scientist (m/f/d) on AI and Agent-based methods in Agriculture

Müncheberg

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 advertised position will be located in the Research Platform "Data Analysis and Simulation" within the Working Group "Landscape Modelling". This group develops and applies simulation models in the context of agricultural landscapes, with focus on large-area agricultural production and its feedback with the systems‘ water and nutrient dynamics and related human decisions.
At our location in Müncheberg, we are offering a 36-month temporary position for a

Post-doc Scientist (m/f/d) on AI and Agent-based methods in Agriculture
70-2024

Your tasks:
… applications of early-career researchers that have developed a deeper understanding on individual-basedmodelling (agent-based modelling, cellular automata, etc.) and/or reinforcement learning methods.

The successful candidate is expected to work along the following research trajectories:

• develop methods for integrating models for human decision making and biophysical models for ecosystem services
• integrate agent-based modelling with reinforcement learning for spatially explicit land-use and -demand modelling
• analyse the interplay effects of mechanistic biophysical and behavioural models in the landscape context

Your qualifications:
We are looking for a dynamic and highly motivated researcher with a PhD and a background in agricultural, geological, biological, data, computational, mathematical or environmental sciences. Good command of programming is mandatory. Previous experience in mechanistic modelling and advanced statistical approaches would be beneficial.

What we offer:

• a full-time contract for 36 months
• classification according to the collective agreement of the federal states (TV-L) up to E13 (including special annual payment)
• a working place on the green and lively campus in Müncheberg near Berlin, Germany
• a company ticket for public transport
• a supportive and inspiring international research environment
• a perspective of becomning eligible for the ZALF Tenure Track programm following this position
• in-house language courses in German and English

Women are particularly encouraged to apply. Applications from severely disabled persons with equal qualifications are favored. It is generally possible to work in the position on a part-time basis. 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 Cover letter, CV, proof of qualification and certificates, stating the reference number 70-2024 until 30 September 2024 to (see button e-mail application below).

If you have any questions, please do not hesitate to contact us: Prof. Dr. Claas Nendel, Tel. +49 (0) 33432/82-355 .
Application documents sent by post or extensive publications will not be returned

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: