PhD studentship in Data-Driven Modelling and Control (DTNModConFlex)

PhD studentship in Data-Driven Modelling and Control (DTNModConFlex)

The Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship (FAU DCN-AvH) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is looking for two PhD students to collaborate on the MoDConFlex, Marie Skłodowska-Curie Doctoral-Training-Network.

Where: FAU DCN-AvH, Department of Data Sciences. Cauerstr. 11, 91058 Erlangen, Germany
Time limit: 3 years
Full-time
Starting at: Earliest possible

We invite applications for a 36-month PhD studentship in the context of the Marie Skłodowska-Curie Doctoral-Training-Network (DTN) “ModConFlex”.
The network brings together 17 academic and industrial partners across Europe with the goal of developing novel approaches to the modelling and control of flexible structures. This project will create groundbreaking mathematical tools for data-driven modelling and control of partial differential equations, which will be efficient in practice and have rigorous theoretical foundations. It is envisioned that the project will combine ideas from a broad range of disciplines, including machine learning, control theory, PDE analysis, and randomized algorithms.

See more details and apply at: https://dcn.nat.fau.eu/jobs/phd-modconflex/