15/02/2021
European Research Council

Post-doctoral Researcher

This job offer has expired


  • ORGANISATION/COMPANY
    Institute of Applied and Computational Mathematics, Foundation for Research and Technology - Hellas
  • RESEARCH FIELD
    Environmental scienceOther
  • RESEARCHER PROFILE
    Recognised Researcher (R2)
  • APPLICATION DEADLINE
    20/05/2021 13:00 - Europe/Athens
  • LOCATION
    Greece › Heraklion, Crete
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    40
  • OFFER STARTING DATE
    01/07/2021
  • EU RESEARCH FRAMEWORK PROGRAMME
    H2020 / ERC
  • REFERENCE NUMBER
    855005

OFFER DESCRIPTION

The Institute of Applied and Computational Mathematics (IACM) of the Foundation for Research and Technology-Hellas (FORTH), in the frame of the ERC Synergy Grant 2019 project urbisphere - Coupling dynamic cities and climate, (Action number: 855005), is seeking to recruit one (1) Post-doctoral Researcher.

Abstract

Climate change and urbanization are two global megatrends that transform human life and directly impact each other. There is a fundamental disconnect between how climate and urban system science analyse and model these processes and phenomena. The urbisphere project aims to change how the scientific community conceptualises, classifies and predicts the climate system and urban planning in cities. The project will create a deep understanding of socio-economic dynamics and human responses to climate and extreme events as well as urban transformation. The team will explore how urbanization, human behaviour and technology changes in cities will impact climate change and how impacts of climate change will influence urban populations and their vulnerability and their adaptive capacity. It will also provide new insights into associated risks at present and in the future. The ERC-funded research team will forecast future urban states and climates - while considering weather, air quality, differential exposure and vulnerability of people - from neighbourhood to city scale. These aspects will be explored in different European and global cities, such as London, Stuttgart, Shanghai and Nairobi. Four researchers based in Germany, Greece and the UK will use their expertise to integrate different computational and observational approaches to create a coupled, dynamic and unified assessment and modelling system to better understand feedbacks between cities and climate change.

Job Description

The Post-doctoral Researcher will join the urbisphere team and will exploit Earth Observation (EO) data for cities worldwide using artificial intelligence (AI) and machine learning (ML) techniques towards achieving the coupling of dynamic cities and climate. In the context of the project, the main tasks assigned to the candidate are:

  • Satellite data processing and analysis.
  • Development of AI and ML methods for biophysical parameters estimation from satellite imagery.
  • Application of AI and ML methods for global time series analysis.
  • Publishing of scientific articles.

 

REQUIRED QUALIFICATIONS

  • A Ph.D. in closely relevant field, e.g. AI and/or ML for satellite remote sensing.
  • A University Degree in scientific disciplines that are related to EO, e.g. engineering, physics, computer science, space science, data science, or equivalent.
  • Proven experience (participation in projects, publications) in satellite image processing and analysis.
  • Proven experience (participation in projects, publications) with respect of the use of AI and ML techniques for satellite EO applications.
  • Proven experience (participation in projects, publications) with respect to the analysis of satellite imagery for retrieval of urban environmental parameters and time series analysis.
  • Proven experience (participation in projects, publications) of interactions and networking within the research and user communities, at national and international levels.
  • Proven programming experience (developed applications) with cloud computing resources for EO, e.g. Copernicus Data and Information Access Services (DIAS), Google Earth Engine.
  • Proficiency in using remote sensing and GIS software.
  • Excellent command in spoken and written English.
  • Good interpersonal and communication skills and ability to work autonomously, effectively and cooperatively in a diverse and international team environment and to define and implement solutions in line with team and individual objectives and project deadlines.
  • Good analytical, organisational and reporting skills.

 

DESIRED ADDITIONAL QUALIFICATIONS

  • A Masters Degree in relevant disciplines.
  • Experience (participation in projects, publications) with respect of the use of multi-spectral, multi-temporal and multi-scale satellite data fusion.
  • Experience in statistical analysis of spatial data and products.
  • Programming experience for combining satellite observations with in-situ measurements.

More Information

Work location(s)
1 position(s) available at
Institute of Applied and Computational Mathematics, Foundation for Research and Technology - Hellas
Greece
Heraklion, Crete
GR 70013
Nikolaou Plastira 100, Vassilika Vouton

EURAXESS offer ID: 605391

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