Postdoc in Long-Term Field Experiment: The Leibniz Centre for Agricultural Landscape Research (ZALF) is seeking a skilled and motivated Postdoctoral Researcher to join our dynamic research team. This position focuses on enhancing data management strategies and data reuse in the field of agricultural and environmental sciences.
Postdoc (M/F/D) in Long-Term Field Experiment (LTE) Data Reuse
Designation
Postdoctoral Researcher (M/F/D)
Table of Details
| Detail | Information |
|---|---|
| Research Area | Agricultural and Environmental Sciences |
| Location | Müncheberg, Germany |
| Eligibility/Qualification | PhD in agriculture, environmental science, or related fields |
| Job Type | Full-time, with an initial contract up to one year |
| Salary | According to German public service remuneration grade table (TV-L) up to E13 |
| Application Deadline | December 10, 2024 |
Research Area
The successful candidate will focus on enhancing the Long-Term Field Experiment (LTE) (meta)database, improve data accessibility and usability, and perform advanced statistical and spatial analyses.
Location
Müncheberg, Germany (approximately 35 minutes by regional train from Berlin-Lichtenberg). The position may involve additional sites in Dedelow and Paulinenaue.
Eligibility/Qualification
- PhD degree in agriculture, environmental science, or related subjects.
- Expertise in geospatial and/or experimental data analysis.
- Experience with long-term experimental systems, particularly in agricultural or environmental contexts.
- Proficiency in programming languages (R, Python, and/or MATLAB) is a plus.
- Proven ability to publish scientific papers in peer-reviewed journals.
- Excellent communication skills in English.
- Ability to work independently and collaboratively in a fast-paced environment.
- Flexibility and willingness to learn new interdisciplinary topics.
Job Description
The successful candidate will:
- Expand and improve the LTE (meta)database and overview map.
- Conduct advanced statistical and geospatial analyses on experimental data and agroclimatic indicators.
- Identify and curate relevant spatial and experimental datasets.
- Develop and present clear narratives demonstrating the value of data repositories.
- Support development of knowledge management strategies for effective data reuse.
- Contribute to high-quality scientific publications in peer-reviewed journals.
How to Apply
Interested candidates should send their application preferably online or via email as a single PDF document (max. 5 MB) including:
- Cover letter
- CV
- Proof of qualifications
- Diplomas and transcripts
Please include the reference number 101-2024 in your application.
For assistance, contact Prof. Dr. Cenk Dönmez at cenk.doenmez@zalf.de.
Application documents can only be returned if an adequately stamped envelope is attached.
Last Date for Apply
December 10, 2024
