Netherlands Job Openings
Wageningen University & Research
Data specialist in crop systems analysis
Wageningen
FULL TIME
September 20, 2024
Advancing towards a sustainable agriculture requires the design and development of more climate-resilient and biodiverse cropping systems. Key strategies to this end are the use of resilient and climate-adaptive crop types grown in diverse (e.g. mixed species) cropping systems. Aligned with these strategies, the Centre for Crop System Analysis (CSA) at Wageningen University & Research (WUR) focuses on obtaining scientific knowledge on plant‑plant and plant-environment interactions, as well as interactions at different trophic levels, to assist in elucidating the complex functioning of such diverse cropping systems.
In order to be relevant, this knowledge needs to be obtained at realistic temporal and spatial scales, which implies the generation and analysis of complex datasets. This calls for increased capacity to integrate and analyze differentially sourced data to build stronger data-driven models to draw conclusions and inform endeavors to sustainable agriculture.
CSA is therefore searching for a motivated data specialist to support our research at three levels: data management, data analysis, and in the programming of user-friendly tools for analysis and modelling.
The specific tasks include:
- Data management: You will design multi-level data flows, from data capture to analysis, to facilitate the organization of data (including data-streams from long-term systems experiments). You develop relational databases across different spatio-temporal domains, and different data types (e.g., meteorological data, sensor data, remote sensing images), and improve data management.
- Data analysis: You support scientific staff and thesis students with data analysis using relevant statistical packages and programing languages (e.g. R) as well as in learning the use of the scientific software/packages.
- Programming of user-friendly tools for analysis and modelling: You support the maintenance, documentation and improvement of scientific software for modelling, such as the crop models developed within CSA. You program packages (e.g. in R) for advanced statistical analyses designed in CSA, and make them available to researchers worldwide. You also program batch processing scripts for remote sensing imagery and data from other sources, and you support model development using said scientific software.
- sabbatical leave, study leave, and partially paid parental leave;
- working hours that can be discussed and arranged so that they allow for the best possible work-life balance;
- the option to accrue additional compensation / holiday hours by working more, per week;
- there is a strong focus on vitality and you can make use of the sports facilities available on campus for a small fee;
- a fixed December bonus of 8.3%;
- excellent pension scheme.
Wageningen University & Research encourages internal advancement opportunities and mobility with an internal recruitment policy. There are plenty of options for personal initiative in a learning environment, and we provide excellent training opportunities. We are offering a unique position in an international environment with a pleasant and open working atmosphere.
You are going to work at the greenest and most innovative campus in Holland, and at a university that has been chosen as the “Best University” in the Netherlands for the 19th consecutive time. Centre for Crop System Analysis (CSA)
The mission of CSA is to contribute to the development of high quality plant production in sustainable agro-ecosystems through research and teaching. The emphasis is on improvement and innovation of plant production at various levels of integration; from genotypes to cropping systems. Sustainable production of tropical perennial crops like cacao and implications for biodiversity and small-holder farmer livelihoods is a central theme of the CSA.
Wageningen University & Research (WUR)
The mission of Wageningen University & Research is “To explore the potential of nature to improve the quality of life”. Under the banner Wageningen University & Research, Wageningen University and the specialised research institutes of the Wageningen Research Foundation have joined forces in contributing to finding solutions to important questions in the domain of healthy food and living environment. With its roughly 30 branches, 7,600 employees (6,700 fte) and 13,100 students and over 150,000 participants to WUR’s Life Long Learning, Wageningen University & Research is one of the leading organisations in its domain. The unique Wageningen approach lies in its integrated approach to issues and the collaboration between different disciplines.
Read the 5 reasons why your future colleagues enjoy working at WUR and watch the video below to get an idea of our green campus!
We will recruit for the vacancy ourselves, so no employment agencies please. However, sharing in your network is appreciated. We seek:
- A MSc degree in ecology, agronomy, plant sciences, computer science or data science;
- strong affinity and preferably experience working on research addressing questions about sustainable agriculture;
- demonstrable data science and programming skills;
- strong communication and collaboration skills;
- interest in learning new programming languages (such as Julia) and statistical skills;
- experience with crop models or functional-structural plant models (desirable).
For more information about the procedure, please contact Dax Teunissen, corporate recruiter vacaturemeldingen.psg@wur.nl.
Do you want to apply?
You can apply directly using the apply button on the vacancy page on our website which will allow us to process your personal information with your approval.
This vacancy will be listed up to and including 5 November 2024.
The preferred starting date for this position is 1 January 2025.
Procedure
As part of our selection process, an assessment may be incorporated within the procedure
Equal opportunities
Wageningen University & Research (WUR) employs a large number of people with very different backgrounds and qualities, who inspire and motivate each other. We want every talent to feel at home in our organisation and be offered the same career opportunities. We therefore especially welcome applications from people who are underrepresented at WUR. A good example of how WUR deals with inclusiveness can be read on the page working at WUR with a functional impairment.
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