Open Position In Remote Sensing And Machine Learning Applications For Agriculture And Food Security... (# Of Pos: 300)

Universities and Institutes of France

France

December 15, 2021

Description

  • Organisation/Company: Université de Strasbourg
  • Research Field: Other
  • Researcher Profile: First Stage Researcher (R1) Recognised Researcher (R2)
  • Application Deadline: 01/01/2022 23:00 - Europe/Brussels
  • Location: France › Illkirch-Graffenstaden
  • Type Of Contract: Temporary
  • Job Status: Full-time
  • Hours Per Week: 36
  • Offer Starting Date: 15/12/2021
  • The University of Strasbourg, ICube is seeking an outstanding researcher at the Post-doctoral/Research

    Scientist level, with a strong interest in agriculture and machine learning to join a diverse team working

    on satellite remote sensing applications for agricultural monitoring and food security, within the

    framework of the ESA World Cereal Project and the NASA Harvest Program. World Cereal, led by VITO, is

    an innovative and ambitious ESA activity that is developing an open system for generating accurate,

    global and seasonally updated cropland extent, crop type and irrigation maps. NASA Harvest is NASA's

    Food Security and Agriculture program, focused on advancing the use of earth observations applications

    for food security, stable agricultural markets and sustainability.

    The successful candidate will work on research related to remote sensing applications to agricultural

    monitoring in the context of food security and climate change. This position will support work related to

    the development, implementation and scaling of cropland and type mapping, ground data collection,

    crop yield forecasting, and cropping practices in order to inform key agricultural and food security

    decisions by a range of public and private stakeholders. This research will be carried out through the use

    of a wide range of satellite data, unique ground collected data-sets, global archives of diverse socioeconomic

    data and statistics.

    Eligibility criteria

    The successful applicant should hold PhD in computer science, remote sensing, agricultural sciences,

    climatology, physics, engineering, mathematics, or related fields. A strong programming background

    (especially Python, R, IDL, or C++), and an interest in agriculture and food security research and

    applications is required. Experience with working with Google Earth Engine, Github, and machine

    learning libraries (i.e. TensorFlow, Keras, PyTorch) are a plus. The candidate will be expected to work

    well and collaboratively within a diverse team and distributed team.

    Selection process

    We invite applications from individuals with a passion for applying scientific, geospatial, and creative

    thinking to address global issues. We value each member of our team and seek to provide professional

    and intellectual development opportunities to the selected candidate.

    Applications should include:

    • A personal statement of background and experience relevant to the position,

    • A signed and dated Curriculum Vitae

    • The names and addresses (including e-mail & phone numbers) of 3 references.

    University of Strasbourg is an equal opportunity employer.

    Salary: Commensurate with experience

    For best consideration, please apply by December 15th 2021, though the position will remain open until

    filled. Please send applications to ireshef@umd.edu cc to mmitkish@umd.edu.

    Contact Information
  • Organisation/Company: Université de Strasbourg
  • Department: Direction de la Recherche
  • Organisation Type: Public Research Institution
  • Website: https:// www. unistra.fr
  • Country: France
  • City: Strasbourg
  • Postal Code: 67000
  • Street: 4 rue Blaise Pascal