Postdoc Position at DTU Space, Denmark – Optimizing Earth Observation data for ice sheet modelling

    Postdoc Position at DTU Space, Denmark - Optimizing Earth Observation data for ice sheet modelling

    Postdoc position on Optimizing Earth Observation data for ice sheet modelling is available at DTU Space, Technical University of Denmark, Denmark. (Scientist Job)


    Deadline to Apply

    Aug 01, 2021 (23: 59 GMT +1)


    Overview

    PositionPostdoc Position
    No. of Position(s)1
    Research Area– Astronomy
    – Machine learning
    SalaryAccording to standard norms
    WorkplaceDTU Space
    Technical University of Denmark
    Denmark
    Contract Period1 Year
    Starting dateSept 2021

    Qualifications

    • PhD degree (or equivalent).
    • For this position, experience with Earth Observation data and machine learning, is essential. We expect the candidate to have:
    • Experience in working with large satellite data sets and development of algorithms.
    • At least basic knowledge of the role/response of the cryosphere in the climate system
    • Have good expertise in programming, e.g. in Python, R, or other high-level programming languages.
    • Demonstrated the ability to publish in the international peer-reviewed research literature
      Furthermore, we are looking for someone who has
    • Presentation skills appropriate for communicating research findings at international conferences.
    • Passion to work on complex, challenging topics
    • Ability to thrive on collaboration and teamwork
    • Flexibility and self-motivation are desired skills at DTU, as well as a natural interest in collaboration and personal responsibility.

    Responsibilities/ Job Description

    Your overall aim will be to strengthen the department’s competences within the application of advanced methods for combining multiple satellite data sources for ice sheet mass balance. You will work in close collaboration with colleagues, and with academic partners in both Denmark as well as abroad. Your primary tasks will involve writing, testing, and optimizing software and applying this to satellite and ground-based field measurements of the Greenland ice sheet.

    • You will optimize and develop methods to take full advantage of combining different satellite data sets.
    • You will publish  the new findings in the international peer reviewed literature.
    • You will present your research at international conferences.
    • You will communicate effectively with colleagues and be able to work as part of a team to achieve ambitious goals.

    How to Apply?

    To apply, please open the link “Apply online”, fill out the online application form, and attach all your materials in English in one PDF file.

    Documents Required

    Applications must be submitted as one PDF file containing all materials to be given consideration. The file must include:

    • Application (cover letter)
    • CV
    • Academic Diplomas (MSc/PhD)
    • List of publications

    About Research project

    You will directly contribute to the ongoing R&D within the Horizon Europe 2020 project PROTECT (protect-slr.eu/). The goal of PROTECT is to assess and project changes in land ice, with fully quantified uncertainties, to produce robust global, regional, and local projections of sea level rise on a different timescale. More specifically you will contribute to the processing of satellite data within the project to ensure a tailored data for ice-sheet modelers in the quest to constrain future sea-level rise. Here, the main research challenge is the development of high-resolution time series of Greenland ice sheet mass changes from a combination of satellite data (e.g. altimetry, gravimetry, ice velocity), and airborne lidar and radar data. The applied methodology will be based on your expertise and earlier results, but we already now see great prospects in seeking novel applications of machine learning in the combinations of the satellite data sources for mass balance.
    The position will be anchored in the cryosphere research group, within the Geodesy and Earth observation division at DTU Space. We have a strong focus on cryosphere changes, both from Earth Observations (radar satellite altimetry, lidar, gravity), airborne and in-situ campaigns. We are currently active in several national and international projects where we work on developing, implementing, and validating methods for using satellite data to map the recent and current changes of the Earth’s cryosphere. Here, we can in addition to PROTECT mention the national Programme for Monitoring of the Greenland Ice Sheet (promice.org), the EU Copernicus Climate Change Service (C3S), and the ESA Greenland Ice Sheet Climate Change Initiative (https://climate.esa.int/en/projects/ice-sheets-greenland/) in which we contribute with expertise in remote sensing products of e.g. elevation changes, mass changes, digital elevation models and ice sheet thickness. Furthermore, we have extensive experience in carrying out field campaigns in the polar regions.

    Note

    • If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.
    • All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

    Inquiries

    Senior Scientist Sebastian B. Simonsen
    E-mail: ssim@space.dtu.dk or
    Cryosphere-research group lead,
    Senior Scientist Louise Sandberg Sørensen
    E-mail: slss@space.dtu.dk

    Official advertisement

    Postdoc position on Optimizing Earth Observation data for ice sheet modelling

    Post expires at 8:59am on Monday August 2nd, 2021 (GMT+9)