Are you fascinated to learn how plants deal with climate change and other environmental stresses and intrigued how plants sense, signal, and respond to changes in their environment? Then this position could be perfect for you. Join our multi-disciplinary team working towards the common goal of understanding the mechanisms of plant stress resilience in crop plants. This position offers the opportunity to expand your network of academic and industry connections in the area of green life sciences. Be part of the new, interdisciplinary research institute CropXR!
Your jobCropXR has the ambitious goal of generating knowledge towards the creation of eXtra Resilient (XR), sustainable, climate-adaptive crops. This decade long national programme connects researchers from four different Dutch universities and various stakeholders. We combine artificial intelligence, plant science, simulation modelling to develop ‘smart breeding and cultivation’ methods to accelerate breeding for complex resilience traits in different crops. The project involves scientific research, data collection and sharing, education and practical applications in agriculture and plant breeding.
We are seeking a highly motivated and talented technician to join a project within CropXR’s core research programme. You will perform experiments on two commercially important species: lettuce and potato. The project will focus on optimising stress protocols (heat, drought) and generating phenotypic and physiological data for these two species. This will form crucial experimental input for downstream mathematical modelling of stress responses in these species. You will have the opportunity to interact with PhD candidates, postdocs and scientists involved in different aspects of this work programme but also the extended CropXR team. The position will be based in a dynamic and collaborative research environment working under the supervision of
Professor Rashmi Sasidharan and
Professor Guido van den Ackerveken.
Key responsibilities:
- design and optimise growth and stress imposition protocols;
- generate and analyse phenomics data with input of data analysts;
- assist in sampling and processing of samples for transcriptomics;
- work proactively and collaborate with other technicians, scientists within this work module;
- analyse and interpret datasets, and present research findings in Crop XR consortium meetings.