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and analysing general Computer Vision methods, using real-world image data as a challenging experimental setting. Research focus The PhD will address open research questions in Computer Vision related
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with next generation high-tech systems? The main challenge lies in the reliable operation of the entire system, where many interconnected modules affect each other. In this project, you will be designing
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. Improve georeferencing and interpretation of InSAR point and distributed scatterers, linking results to buildings, parcels, and land-use information. Disentangle contributing deformation mechanisms
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(e.g. Earth Explorers, Missions of Opportunity or Scouts), including the technical coordination of a small team of engineers and scientists; developing of generic building blocks and modules for end
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ideally suited for continuous interferometry. You will design and construct a compact rotation sensor using a rubidium atomic beam generated by a 2D-MOT, achieving mean velocities around 20 m/s and enabling
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out spatially distributed measurements with for example shallow-depth geo-radar. You will be based at the department of Geoscience & Engineering (GSE) within the faculty of Civil Engineering and
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mission; development, validation and utilisation of operational solutions for the above science missions, in the field of command generation for the GNC systems (guidance, navigation and control
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competencies Familiarity with tools like Metasploit, Nmap, Nessus, Burp Suite and Wireshark, as well as with fuzzing tools General background and specific experience in the technical domains covered by
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Your tasks and responsibilities will include: providing expert technical support and consultancy to ESA projects, programmes and general studies in the field of telecommunication systems throughout all
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responsibilities will include: providing expert technical support and consultancy to ESA projects, programmes and general studies in the field of TT&C and PDT subsystems, including their associated EGSE and related