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Aalto University, Dept. of Mathematics and Systems analysis Position ID: Aalto-PRA [#28168] Position Title: Position Type: Postdoctoral Position Location: Espoo, Southern Finland 02150, Finland [map
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positions for distinguished professorship. Candidates in areas including, but not limited to, Algebra, Number Theory, Geometry, Topology, Combinatorics, Graph Theory are encouraged to apply. Responsibilities
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About the Role The position is funded through the EPSRC project “Zeros, Algorithms, and Correlation for graph polynomials”. We study various combinatorially defined polynomials such as the
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& Cryptography, Graph Theory & Combinatorics, Statistics, Artificial Intelligence, Computational & Applied Mathematics, Dynamical Systems & Mathematical Biology. It hosts the Key Laboratory of Nonlinear Analysis
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with multitarget estimation for direction-of-arrival (DOA) detection and tracking in radar theory [12]. Graphs are a powerful data structure to represent relational data and are widely used to describe
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specialization. Requirements We are looking for candidates who have: Solid analytical and mathematical abilities Experience with machine learning Experience with formal language theory or automata theory Strong
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computer science, mathematics, statistics and/or probability theory. Support teaching at postgraduate level online. Moreover, you will: Have a good first degree or masters in a discipline relevant to computer
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nonstationarity, graph theory, machine learning and multivariate statistics; with applications in neuroscience, climate research, economics and general communication networks. More information about the group
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-doctoral associate to work on one or more of the following topics: Mathematical Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 3 months ago
. Project Description The successful candidate will work on the development of a Gaussian Process regression framework on graphs and its integration into: the Numerical Information Field Theory (NIFTy