Tenure Track Position for a Scientist (m/f/d) on “Model–Data Fusion in Landscape Research”

Leibniz Centre for Agricultural Landscape Research (ZALF)

More jobs at Leibniz Centre for Agricultural Landscape Research (ZALF)

Town/City:

Müncheberg


Position type:

Full time

19 Jan 2021
08 Mar 2021

Full details:

Reference number: T03-2021

ZALF is a member of the Leibniz Association and, with its 350 employees, one of the largest research institutions in the Berlin-Brandenburg region. It is located in Müncheberg (approx. 35 minutes by regional train from Berlin-Lichtenberg) and maintains a research station with additional locations in Dedelow and Paulinenaue. ZALF’s mission as a nationally and internationally active research institute is to deliver solutions for an economically, environmentally and socially sustainable agriculture – together with society. As a contribution to overcoming global challenges such as climate change, food security, biodiversity conservation and resource scarcity, we develop and design crop systems that combine food security with sustainability. For its integrated systems research, ZALF processes complex landscape data with a unique set of experimental methods, new technologies and models as well as socio-economic approaches.


The ZALF Research Platform “Data Analysis and Simulation” develops coherent concepts for the integration of data, models and simulation methods for landscape research, ranging from technical solutions to landscape theory. Within this Research Platform, we are pleased to announce a


Tenure Track Position for a Scientist (m/f/d) on “Model–Data Fusion in Landscape Research”
[Reference N° T03-2021]


Call description:


With its Tenure Track System, ZALF aims to recruit excellent scientists with essential expertise by providing a guaranteed transitioning to a permanent contract subject to successful evaluation. This Classic Tenure Track Call invites applications with a clear focus on using big data from automatic and semi-automatic data sources (e.g., remote sensing, proximal sensing, crowd-sourced data, etc.) to initialise, calibrate and drive simulation models for processes in agricultural landscapes.


Tasks and qualifications:


Working in the Research Group “Landscape Modelling”, the successful candidate will

  • develop and implement assimilation methods for sensing data into mechanistic agro-ecosystem models
  • improve the calibration and initialisation of existing simulation models when being applied in larger spatial contexts (landscape, region, continent), and
  • develop concepts and implementations for spatially explicit modelling and process analysis across large areas and model domains, including co-simulation of different ecosystem models, and interaction models

The call is addressed to dynamic and highly motivated, preferably early career researchers with a PhD in agricultural, geo-, or environmental sciences and with sound experience in using sensing data in a scientific context. Good command of geo- and multivariate statistics as well as software programming is mandatory. Candidates must have demonstrated their capacity to independently carry out research, including an excellent publication record, successfully acquired competitive third-party funding, and visibility in their respective field of research. Previous experience in mechanistic modelling, advanced statistical approaches (machine learning) and data assimilation techniques would be beneficial.


We offer:


The successful candidate will receive a Regular Tenure Track position (2 x 2-3 years), with progress to the subsequent phase being subject to successful evaluation. If candidates are not legally eligible for two consecutive fixed-term contracts, they may enter the Fast Tenure Track if the required scientific achievements are fulfilled.


Tenure contracts are generally offered as full-time contracts, with part-time option to allow for the reconciliation of family and career. Salary will follow the guidelines for public employees according to the German TV-L, depending on the personal situation up to the level of E14. The working place is in Müncheberg near Berlin, Germany. The successful candidate will be offered individual options for career support such as a mentoring tandem, courses and trainings as well as variable options to access scientific resources.


ZALF is an equal opportunities employer (audit berufundfamilie® certificate) and specifically encourages female scientists to apply. Applications of disabled applicants with equal qualifications will be favoured.


Application and candidate selection:


Application documents must follow the specifications given in the respective guideline available at the ZALF website (www.zalf.de/en/karriere/tenure-track) and include two standardized letters of recommendation of scientists who are familiar with your research accomplishments and academic credentials (template available at www.zalf.de/de/karriere/tenure-track/Documents/20181218_ZALF_TenureTrack_App4_Reference_Letter.docx).


Candidate selection is based on scientific achievements, strategic aspects, and personal suitability. Details on criteria, minimum requirements and evaluation processes can be obtained from the ZALF Tenure Track System guideline, which is an official annex to this call: www.zalf.de/de/karriere/tenure-track/Documents/20181218_ZALF-Tenure_Track_System_Guideline.pdf


Please send your application as a single PDF file to tenuretrack@zalf.de, stating the reference number T03-2021. The deadline for applications is 8 March 2021.


If you have any questions regarding the research profile of this position, please contact Prof. Dr. Claas Nendel (Phone +49(0)33432/82-355; nendel@zalf.de). For questions regarding the Tenure Track System, please contact Dr. Ulrike Hagemann (Phone +49(0)33432/82-449; ulrike.hagemann@zalf.de).


For cost reasons, your 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. You can find further information at: www.zalf.de/en/ueber_uns/Pages/Datenschutzerklaerung.aspx

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