
Postdoctoral fellow in Computational Plant Genetics and Digital Twin Modelling
Sara Laranjeira
PheNo coordinator
Now Hiring at PheNo-NMBU
Location: Department of Plant Sciences (IPV), Faculty of Biosciences (BIOVIT), Norwegian University of Life Sciences (NMBU)
Duration: 3-year position
Application deadline: 22/10/2025
About the Position
The Department of Plant Sciences (IPV) at the Faculty of Biosciences (BIOVIT) invites applications for a Postdoctoral Fellow in Computational Plant Genetics and Digital Twin Modelling. This exciting three-year position is funded through the NMBU PheNo infrastructure and is an integral part of the TWIN-NUE project: TraitFinder-enabled Digital Twins and Genomics for Nitrogen Use Efficiency (NUE) in Oat and Perennial Ryegrass.
About PheNo – A New Era in Plant Phenotyping
PheNo represents a cutting-edge national infrastructure for plant phenotyping in Norway, funded by the Research Council of Norway (NFR) for five years. Designed to support advanced research in plant biology, agriculture, and climate adaptation, PheNo provides tools and technologies for high-throughput and precision phenotyping.
By enabling detailed observation and analysis of plant traits under diverse environmental conditions, this facility fosters innovation and collaboration among researchers, breeders, farmers, and industry partners. Together, we aim to strengthen the sustainability and resilience of Norwegian agriculture, preparing it to meet both local and global challenges.
About the Research
As a Postdoctoral Fellow, you will play a key role in developing AI-driven digital twins that simulate and predict nitrogen use efficiency (NUE) in forage grasses and oats.
Your work will combine high-resolution phenotyping data from the TraitFinder system, drones, and robotic sensors with genomic and transcriptomic datasets, establishing a new framework for predictive phenomics.
This interdisciplinary project offers a unique opportunity to:
- Link advanced computational modelling with plant genetics
- Develop data-driven approaches for sustainable crop improvement
- Contribute to next-generation agricultural innovation focused on nitrogen management and breeding efficiency
By joining our team, you will help position NMBU at the forefront of digital agriculture and crop genomics research, contributing to a more sustainable future for global food production.
Interested in Joining Us?
For more details about the position and application procedure, visit: Postdoctoral fellow in Computational Plant Genetics and Digital Twin Modelling (287964) | Norwegian University of Life Sciences (NMBU).
