News

Open Positions

We are currently looking for outstanding PhD students, Postdocs and Interns interested to work in one or more of the research topics that our group investigates starting at the beginning of 2019.

We are looking for people with a strong background in Physics, Math and Statistics and interested to work on interdisciplinary applications in Machine Learning, Probability and Computer Science.

Perspective PhD students have the option to enroll in the International Max Planck Research School for Intelligent Systems.
The next deadline for PhD applications is November 15th 2018 11:59am CET for a start 2019, more details on how to apply here.

Specifically, we are opening the following positions:

  • One PhD with focus on Routing Optimization
  • One PostDoc Position
Feel free to send me an email for more information.

Research

I study large interacting systems following two main research directions to tackle the problem under different angles.

Inference on networks
Complex interacting systems are often represented by large datasets containing a considerable amount of information. The question is how to capture the relavant macroscopic behavior by retaining only a small amount of information. This can be formalized as an inference problem where we want to extract a set of model parameters capable of describing the observed system and making future predictions.
In particular, I am interested in analyzing systems where elements interact in multiple ways, as in multilayer networks, and systems displaying hidden hierarchies that might play a role in determining the interaction patterns that we observe.

Routing Optimization on networks
Optimizing traffic on a network is a relevant problem in situations where traffic congestion has a big impact on transmission performance. This can be formalized as a computationally-hard constrained optimization problem where interactions are non-local and a global optimization is required.
I investigate this problem by adopting approaches that combine insights from statistical physics and a methodologies developed in optimal transport theory.

CV

Curriculum Vitae

Caterina De Bacco is a Cyber Valley Group Leader at the Max Planck Institute for Intelligent Systems in Tübingen, Germany.

Research approach:

  • developing models to characterize interacting systems using ideas and methods from statistical physics and probabilistic modeling
  • and enjoying collaborations with domain experts from different disciplines.

Research experience

  • Cyber Valley Research Group Leader, 2018

    Max Planck Institute for Intelligent Systems

  • Postdoc at Data Science Institute, 2018

    Columbia University

  • Program Postdoc, 2017

    Santa Fe Institute

Education

  • PhD in Statistical Physics, 2015

    Universitè Paris Sud 11

  • MSc in Theoretical Physics, 2012

    Università di Padova

  • BSc in Physics, 2010

    Università di Padova

Contact