Postdoc (f/m/d)
at LeibnizZentrum fr Agrarlandschaftsforschung ZALF e V
15374 Müncheberg, Brandenburg, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 21 Jan, 2025 | Not Specified | 22 Oct, 2024 | N/A | Python,Big Data,R,Agronomy | No | No |
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Description:
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 based in the Research Platform “Data Analysis and Simulation“ within the Working Group “Ecosystem Modelling “. The role aims to support PhD candidate’s supervision, contribute to large-scale modeling initiatives such as AgMIP, and assist in developing new proposals for climate change impact assessments, with a focus on compound abiotic stresses.
We offer a full-time position (40h per week) limited for 24 months at our location in Müncheberg as
Postdoc (f/m/d)
95-2024
YOUR QUALIFICATIONS:
- PhD in crop science or agronomy
- solid knowledge in crop stress physiology
- extensive experience in the development and application of crop models at a large scale
- robust experience with R or Python
- proven experience in handling big data
- excellent written and spoken English skills required
Responsibilities:
- supporting in supervision of PhD candidates in data analysis and field measurements
- contributing to global crop model intercomparison initiatives (e.g. AgMIP) through the calibration and execution of the MONICA crop model
- assisting in the development of research proposals for major German funding agencies (e.g., DFG), with a focus on climate change impact assessments using process-based crop models, particularly addressing compound abiotic stresses
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Phd
Proficient
1
15374 Müncheberg, Germany