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Systems Modeler & Remote Sensing Specialist) Job Class Code HA02 A/B/C, HA03 A/B/C Appointment Status Full-time Part-time FTE Limited Term Yes Limited Term Length 1 year; continuation contingent upon
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of innovative methodologies for the analysis of synergistic multispectral satellite data and very high-resolution remote sensing imagery acquired from Unmanned Aerial Vehicles. The responsibilities include active
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at the policy–academic interface. This position is ideal for an early- or mid-career researcher with experience in GIS or remote sensing who seeks to apply and expand their expertise in a fast-paced
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as a more sustainable approach to space infrastructure for global communications and remote sensing Space sustainability more generally from ISAM (In-Space Assembly and Manufacturing), through
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and qualifications: Experience in deep learning for remote sensing. Contracting requirements: Presentation of the academic qualifications and/or diplomas, if applicable. Enrolment in Master's degree in
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and remote sensing datasets for model validation. Develop new functionalities in the Community Land Model (CLM) within CESM. Conduct model simulations to investigate how the tropical atmosphere responds
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, Environmental Sciences, or Geography. Preferred conditions for the position include proven experience in Geographic Information Systems (GIS) and remote sensing tools (e.g., satellite data), as well as experience
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of QRI Fellow Mentors can be found here: https://quantum.umich.edu/fellows/ . Open to all quantum science and technology disciplines, including spectroscopy, photonics, devices, sensing, computation
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the European Research Council (ERC). The CALIX project seeks to develop, test and implement a new stochastic calving law using a range of remote sensing, statistical and modelling techniques, and to apply
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for remote sensing and uncertainty estimation. Candidates must have a strong programming background. Requirements: PhD in Computer Science or a related field with a strong emphasis on machine learning