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Professor is expected to be proficient in fluvial geomorphology, as well as in geoinformatics and remote sensing methods as part of hydrological research and societal applications. Research achievements
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proposal. A successful PhD applicant will work with multiple scale (from drones to satellite) remote sensing of shrub encroachment processes in tundra and treeline dynamics. The candidate is expected to have
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of Sensing, Imaging and Modelling (DREAM) at the University of Oulu. DREAM will educate in total 100 doctors located at 7 Finnish universities in a diverse and multidisciplinary setting, encompassing applied
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and climate, but you are expected to react also to actual research topics in a broader sense. Your tasks include planning and leading research projects and working in those, as well as developing both
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skills. Fluent oral and written communication skills in English are required in the position. We appreciate skills in wildlife ecology, statistical methods, fieldwork and in handling remote sensing and GPS
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operators to sense remote objects, including their shape, texture, and temperature, in real time, enhancing their ability to delicately grasp and manipulate objects. This project is dedicated to the creation
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Mathematics for Sensing, Imaging and Modelling (FAME), funded by the Research Council of Finland for the period 2024 – 2031, as well as the Finnish Centre of Excellence in Inverse Problems Research 2018-2025
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others (or the lack thereof), and the ways they envision and make sense of their own lives illuminate how the social fabric is being maintained and transformed. Doing so, the project promotes constructive
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for precise quantum engineering. Progress in fundamental and applied research has led to the discovery of devices, algorithms and software predicted to supersede conventional computing, communication, sensing
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region (under the changing climate). Experience in utilizing and developing advanced field and experimental research methods, large datasets as well as statistical, modelling, or remote sensing approaches