• Description:

    Research Associate (PhD Position) in Remote Sensing for Biodiversity and Vegetation Monitoring at Universität Hamburg in Germany; Your responsibilities: Research associates will be expected primarily to teach and conduct research. The research associate will also have the opportunity to pursue further academic qualifications, in particular a doctoral dissertation. At least one-third of set working hours will be made available for the research associate’s own academic work.

    1. conduct impactful research in the field of remote sensing and publish the results in peer-reviewed scientific journals
    2.  engage in teaching (2,5 LVS), supporting our commitment to educational excellence
    3. pursue a doctorate, contributing to our excellent academic environment

    The research focus of the position is on remote sensing for biodiversity and vegetation analysis which offers a diverse array of research topics focusing on the mapping and assessment of vegetation biophysical variables, such as biomass, leaf area index, and vegetation phenology, in addition to biodiversity patterns. This role may underscore the importance of observing shifts in vegetation phenological cycles as markers for changes in the climate system. Candidates may choose to concentrate on remote sensing-based phenology monitoring, striving to obtain precise vegetation phenological insights through high-resolution time series or to concentrate rather on biodiversity patterns monitoring by employing cutting-edge Earth Observation (EO) data sources including optical, radar, UAVs and/or hyperspectral imagery.


    A university degree in a relevant field. We are seeking a dynamic candidate with a Master’s degree in Vegetation Geography, Remote sensing, Biology, Ecology, Environmental Science, or a related field with demonstrated experience or course work in remote sensing applications to biodiversity and vegetation. Essential skills include a solid foundation in remote sensing, programming languages (Python, R), satellite data analysis, and statistics. The willingness to integrate remote sensing data with ecological models is beneficial. The role requires independent work as well as collaboration in an interdisciplinary team.

    Instructions for applying Contact Prof. Dr. Olena Dubovyk olena.dubovyk@uni-hamburg.de Reference number 131 To apply: Use only the online application form APPLY NOW below to submit your application with the following documents:

    • cover letter
    • CV
    • copies of degree certificate(s)

    If you experience technical problems, send an email to bewerbungen@uni-hamburg.de.



  • Fields

    • Ecology

    • Environmental Science

    • Geography

  • Qualifications

    • Master

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