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Closed for application
C37.CU5.10

Early diagnosis and biostrategies against mycotoxigenic fungi in Mediterranean crops

  • Reference person
    Cristina
    Nali
    cristina.nali@unipi.it
  • Host University/Institute
    University of Pisa
  • Internship
    N
  • Research Keywords
    Plant Pathology
    Vegetation spectroscopy
    Machine learning
  • Reference ERCs
    LS9_9 Plant pathology and pest resistance
    LS9_8 Applied plant sciences, plant breeding, agroecology and soil biology
    PE10_14 Earth observations from space/remote sensing
  • Reference SDGs
    GOAL 2: Zero Hunger
    GOAL 3: Good Health and Well-being
    GOAL 13: Climate Action
  • Co-Supervisor
    Cotrozzi Lorenzo

Description

Suggested skills:

The selected candidate will have to develop a unique skill set including the capability of analyzing both standard (e.g., ecophysiological results) and high-dimensional data (e.g. hyperspectral and multivariate data sets) to improve the monitoring of plants under biotic and abiotic stress. The prospective candidate should be highly motivated to perform research at an advanced level. Experience in standard Plant Pathology approaches and background in plants are essential. The preferred candidate should have a Degree in Agricultural Science or related field. Good Italian and English communication skills are essential.

Research team and environment

The Plant Pathology group of the Department of Agriculture, Food and Environment of the University of Pisa leaded by Prof. Cristina Nali, also includes an Associate Professor, a Researcher, four PhD students, and six technicians. Major research interests of the group include advancing vegetation spectroscopy and the concept of hyperspectral phenotyping of plant stress, and physio-chemical responses of plants to biotic/abiotic stresses. The group is equipped of greenhouses and ozone-exposure facilities, as well as field and lab equipment for morpho-physiological and biochemical analyses (e.g., photosynthesis systems, Chl a fluorometer, HPLC, GC-MS, microbiology tools).