Postdoctoral Fellow in Plant Genetics: Join the Norwegian University of Life Sciences (NMBU) as a Postdoctoral Fellow in a cutting-edge project focused on AI-driven modelling in plant phenotyping. This role is integral to advancing sustainable nitrogen management in agriculture through the development of digital twins and predictive decision-making frameworks.
Postdoctoral Fellow in Computational Plant Genetics and Digital Twin Modelling
Designation:
Postdoctoral Fellow
Research Area:
Computational Plant Genetics, Digital Twin Modelling, Phenotyping
Location:
Ås, Norway
Eligibility/Qualification:
- A PhD in Plant Sciences, Computational Biology, Bioinformatics, Data Science, or a related field.
- Documented expertise in machine learning and time-series modelling (e.g., LSTM, XGBoost, CNN).
- Strong programming skills in Python and R.
- Experience with phenotyping data (imaging, 3D point clouds, or multispectral data).
Job Description:
- Develop protocols for real-time phenotyping of nitrogen use efficiency (NUE)-related traits using the TraitFinder system.
- Build and validate digital twin models applying machine learning methods.
- Conduct virtual “what-if” scenarios for nutrient, water, and light inputs to predict biomass and canopy dynamics.
- Perform genome-to-phenome analyses for NUE traits.
- Collaborate in interdisciplinary teams and co-supervise master’s and PhD students.
- Publish research findings in peer-reviewed journals.
How to Apply:
Submit your application electronically via the link “Apply for this job” on the NMBU recruitment website. Include a cover letter, CV, copies of diplomas, and up to ten relevant publications.
Last Date to Apply:
22nd October 2025
For more information, contact Research Scientist Mallikarjuna Rao Kovi at +47 40566127 or via email at mallikarjuna.rao.kovi@nmbu.no, or Professor Morten Lillemo at +47 67232775 or morten.lillemo@nmbu.no.
