PhD fellowship/scholarship - Sensing roots for better prediction of nitrogen loss from crop fields

This PhD fellowship focuses on advanced research in agricultural and environmental sciences, specifically targeting the sensing of root systems to improve the prediction of nitrogen loss from crop fields. Candidates should have a strong foundation in plant sciences, soil science, environmental monitoring, or related disciplines. Expertise in sensing technologies, such as remote sensing, proximal soil sensing, or root imaging techniques, is essential to accurately assess root behavior and its impact on nitrogen dynamics. The role requires familiarity with nitrogen cycling in agroecosystems, including understanding the biochemical and physical processes that lead to nitrogen loss through leaching, volatilization, or denitrification. Analytical skills in data collection, processing, and modeling are critical to develop predictive tools or models that link root sensing data with nitrogen loss outcomes. Knowledge of statistical analysis, machine learning, or computational modeling may be beneficial to enhance prediction accuracy. Candidates should be proficient in using scientific instrumentation and software relevant to sensing and environmental data analysis. The position is research-intensive, demanding strong problem-solving abilities, critical thinking, and the capacity to work independently as well as collaboratively within interdisciplinary teams. Effective communication skills are necessary to document findings and contribute to scientific publications. A background in agronomy, environmental science, or a closely related field at the graduate level is expected, with a keen interest in sustainable agriculture and nutrient management. This fellowship offers an opportunity to contribute to innovative solutions aimed at reducing environmental impacts of farming practices through improved understanding and monitoring of root systems and nitrogen fluxes.