Postdoc in Satellite Altimetry Data Processing and Machine/Deep Learning

At the Technical Faculty of IT and Design, Department of Sustainability and Planning (PLAN), a Postdoc position in Satellite Data Processing and Machine/Deep Learning is open for appointment from 01.01.2026 or soon hereafter in Aalborg. The position is available for a period of 12 months with the possibility of extension. PLAN conducts research and teaching on development and planning in a broad sense, including social science aspects as well as more technical aspects of development, and with a focus on environmental, international as well as administrative dimensions.Job description:Background: Managing global water resources is one of the most pressing challenges of our time, especially under the growing pressures of climate change and human activity. Global hydrological models are vital tools, but they often fall short due to data limitations and model simplifications. Recent breakthroughs in data assimilation (DA) and machine/deep learning (ML/DL) are changing the game. With new satellite missions like SWOT and upcoming Sentinel-6A/6B, we now have unprecedented access to global water observations. The challenge of turning these data into actionable insights will be addressed in the proposed Postdoc project.The topic of this Postdoc position is the development of data-driven methods to estimate river streamflow using satellite altimetry. Particularly, the Postdoc will explore hybrid deep learning models that integrate river network information, creating a hydraulically informed AI approach that pushes the boundaries of streamflow estimation.Qualification Requirements:Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a Postdoc cannot exceed a period of four years in total at Aalborg University.Profile: The ideal candidate hasA PhD degree in Geodesy, Hydrology, Civil Engineering, Physics and Meteorology, Applied Mathematics, Computer Science/Engineering, or a comparable disciplineProfound skills in numerical modelling and programming are essentialExperience with satellite altimetry data processing is requiredExperience with machine learning and/or deep learning is desirable, preferrable in the context of Earth System sciencesExperience with hydrological and/or land surface models is an advantageStrong interest in collaborative workPassionate to present the results in highly ranked peer reviewed scientific journals and at international conferencesGood English skills (oral and written) are requiredWe offer:International, interdisciplinary working environmentIn-house modelling, data processing and data assimilation expertise, software, and High Performance Computation (HPC) infrastructureExcellent scientific infrastructureParticipation in international conferencesSupport for developing job skills and improving your CVFlexible working hours and various opportunities to reconcile work and family lifeQualification requirementsAppointment as postdoc requires academic qualifications at PhD level.-------------------------------------------------------------------------------------------------------------------Important: Applications are only possible through the Aalborg University's online system. Follow this link:https://www.vacancies.aau.dk/scientific-positions/show-vacancy/vacancyId/867805-------------------------------------------------------------------------------------------------------------------How to applyYour application must include the following:Application, stating reasons for applying, qualifications in relation to the position, and intentions and visions for the positionCurriculum Vitae (CV)Diplomas (master's degree diploma and PhD diploma)List of publications, with an indication of the attached publications that you wish to be taken into account in the assessment. You may attach a maximum of ten publications. If you are applying for a position at The Faculty of Social Sciences and Humanities (SSH), you must submit a co-author statement, see template for co-author statementDocumentation of teaching qualifications. Depending on which faculty you are applying for employment, please see guidelines for teaching portfolio at The Technical Faculty of IT and Design, The Faculty of Engineering and Science and The Faculty of Medicine or guidelines for teaching portfolio at The Faculty of Social Sciences and Humanities. If this is not enclosed, the applicant must enclose the reasons for this .Dissemination qualifications, including participation on committees or boards, participation in organisations etc.Additional qualifications in relation to the positionReferences/recommendationsWorkplace: Aalborg, DenmarkApplication deadline: 15th November 2025