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biomass remote sensing, crop modeling, data assimilation and machine learning Supervise master thesis students For PhD students: follow training in line with the doctoral school requirements Where to apply
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combining different complementary sources of information (e.g. remote sensing, satellite imagery, LiDAR, orthophotomaps), and (d) to build a decision support system (Dashboard) to evaluate the exposure
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projects and activities. You will present the project results at national and international conferences and write scientific articles. Your ProfileAdmission Requirements PhD in Remote Sensing and
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» OtherEducation LevelBachelor Degree or equivalent Skills/Qualifications Skills using GIS solutions (including 3D modelling) and remote sensing Advanced skills in field data collection Medium skills in statistical
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variability driven by TNE cycles. We will use remote-sensing observations of the solar atmosphere (mainly with SDO, Hinode, IRIS, and the newest observations of Solar Orbiter) and in situ measurements in
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, and household survey data. The additional integration of remote sensing data is also highly desirable. The postdoctoral fellow will pursue established questions, and will also have considerable latitude
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balloon system and assisting with UAV/floating balloon operations. Analyzing in situ data (holographic imagers) and ground-based remote-sensing data (cloud radar) to derive ice crystal growth rates via
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for nutrients and algal toxins, and household survey data. The additional integration of remote sensing data is also highly desirable. The postdoctoral fellow will pursue established questions, and will also have
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/ML for (a) human-autonomy teaming, (b) autonomous navigation & control, (c) supply-chain optimization, (d) remote sensing, (e) cybersecurity in autonomous aviation. These pillars align with AAE’s
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focuses on the following subfields: (a) Geophysics: tectonics, seismology, remote sensing, and fault mechanics, as well as earthquake hazards; (b) Volcanology: geochemistry, physical volcanology, igneous