Postdoctoral Position: Phenomics of Plant Disease 1369 views

This Plant Pathology and Crop Science Groups at ETH Zurich have vacant postdoctoral position in Phenomics of Plant Disease.

About the Project:
  • Major areas of research in the Plant Pathology Group are population genomics and evolutionary ecology of fungal pathogens.
  • A primary experimental organism is Zymoseptoria tritici (aka Mycosphaerella graminicola) which causes septoria tritici blotch (STB), the most damaging wheat disease in Europe.
  • The aim is to extend the methods to perform under field conditions to accelerate progress in breeding for STB resistance.
  • Applicants with expertise in plant pathology, plant phenotyping, image analysis, machine learning, or proximal sensing, to lead a research group oriented around next generation phenotyping of plant diseases in both field and greenhouse settings will be preferred.

Requirements:

  • Applicants should be able to work independently and to publish their research in peer-reviewed journals.
  • Applicants should have effective communication skills, both oral and written, and be able to lead and coordinate a research team of 2-3 people.
  • Applicants should possess demonstrated experience in research topics related to plant phenomics, including expertise in one or more of the following areas: plant pathology, automated image analysis, machine learning, spectral vegetation indices, proximal or remote sensing of vegetation.
  • Experience with plant pathogens is desirable, though not required, but applicants who already have experience with plant pathogens will have an advantage.
  • Experience with statistics and programming is expected.
  • The ability to manage and analyze extensive phenotype datasets containing millions of data points is essential.

Applications:

  • Applications should be sent as a single PDF file to Prof. Bruce A. McDonald at bruce.mcdonald@usys.ethz.ch consisting of a CV, publication list, and a detailed statement of research interests, with names and contact information for 3 references.
—————–Quick Overview————-
Organization ETH Zurich
Country Switzerland
Fellowship Level Postdoctoral
Subject areas

Plant Pathology, Automated Image Analysis, Machine Learning, Spectral Vegetation Indices, Proximal or Remote Sensing of Vegetation

Fellowship amount Varies
Eligibility Open to all nationalities
Deadline 1 June 2020
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