A post-doctoral position is available at Gipsa-lab in Grenoble, France,
to work with Simon Barthelmé and Ronald Phlypo on Graph Signal
Processing and Gaussian Processes.
Graph Signal Processing (GSP) is a nascent field that aims to generalise
tools used to process time series (line graphs) or images (regular 2D
grids) to the setting of more general graphs. Examples include sensor
networks, road networks, social networks, etc. One of the central ideas
in GSP is to define an equivalent of the Fourier transform via the graph
Laplacian, which opens up many ways to filter out noise, estimate
signals, etc. From a statistical viewpoint, GSP techniques take graph
structure as given, which may be inadequate. Indeed, in many cases
graphs are imperfectly observed: missing or spurious links, missing
nodes, and sometimes even entire parts of the graph that are missing.
How then should we understand the graph Laplacian and the methods based
on it?
The goal of the post-doc is to explore the robustness and
interpretability of GSP techniques under noisy structures. We will focus
especially on the links between GSP and a special case of Gaussian
processes called Gauss-Markov Processes.
Background ----------------
We are looking for candidates with a background in statistics, signal
processing, or machine learning. We will also consider candidates from
statistical physics.
Description of the position ------------------------------------
The position is a two-year post-doc funded by the ANR (French National
Agency for Research, project GenGP). Salary is according to the French
national scale (~ EUR 2,000 net per month).
Location ------------
Gipsa-lab is a research laboratory with a dynamic signal processing
department, in which the candidate will be based. It is located in
Grenoble, France. Grenoble is the largest city in the French Alps and
features a very strong research environment in the physical and
information sciences. It is also located at the heart of one of the most
beautiful regions in France and offers many opportunities for those who
love the outdoors, or think they might.
Applying ------------
Please send a CV and letter, and at least one recommandation letter to
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