Connectionists: Postdoc in complex networks, dynamical systems, and Bayesian inference

[filippo bianchi]

At the Department of Mathematics and Statistics at UiT the Arctic
University of Norway (Tromsø), a position is available for a 3-years
Postdoctoral research fellow in complex networks, dynamical systems, and
Bayesian inference.

The possible research topics for the position are:
- interpretation of dynamical systems from a complex network perspective
- coupling Bayesian mathematics with probabilistic programming and deep
learning
- combine statistical inference with graph theory to perform inference on
data represented as graphs
- developing theoretically grounded machine learning models for graphs

The main field of application will be energy analytics, with a particular
focus on interpreting and modelling the energy grid as a complex network to
solve clustering and optimization problems.
The Postdoc Fellow will also have the opportunity to participate in other
projects at the Department, focused on the epidemic spread over a community
network and modelling climate systems as a complex network.

The Postdoc Fellow is expected to:
- conceive and develop their own research ideas
- establish interdisciplinary collaborations with researchers from other
fields
- participate in the supervision of PhD students

More information about the position and the instructions for applying are
available here:
https://www.jobbnorge.no/en/available-jobs/job/198918/postdoctoral-research-fellow-in-complex-networks-and-or-bayesian-inference

The application deadline is *24 February 2021*.

For any questions, you can send an email at filippo.m.bianchi at uit.no
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