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Graph Machine Learning and Graph Data Management At Section for DATA, Department of Computer Science, Aalborg University, a postdoc position is available. The project is funded by a Novo Nordisk
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are essential, particularly in one or more of the following areas: Probabilistic or Bayesian Machine Learning Variational Inference, Ensemble, or Diffusion Models Spatio-Temporal or Sequential Modelling Graph
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that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics This PhD project falls under Research Thrust RT3
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applicants to this PhD proposal should have the following qualifications: MSc degree in electrical engineering, mathematical engineering, mathematics, computer science or similar; Solid mathematical and
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• Relational (deep) learning • Graph neural networks • Reinforcement learning These domains are central to our mission of advancing intelligent systems through principled, data-driven approaches
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Aalborg University, Department of Mathematical Sciences Position ID: Aalborg University-Department of Mathematical Sciences-ASSPROSTATISTICS [#30563] Position Title: Position Type: Other Position
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At the Faculty of Engineering and Science, Department of Mathematical Sciences, Aalborg University (AAU), one or more positions as Full or Associate Professor in Statistics are available from 1
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, Mathematical Engineering, Computer Science or equivalent. A strong background with machine learning and data science. A strong background with remote sensing and earth observation. Hands-on experience with
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total at Aalborg University. Profile: The ideal candidate has A PhDdegree in Geodesy, Hydrology, Civil Engineering, Physics and Meteorology, Applied Mathematics, Computer Science/Engineering, or a
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, the Department of Mathematical Sciences, and industrial partners to ensure strong scientific and practical outcomes. In addition, the Postdoc will contribute to teaching and student supervision, as