Eindhoven University of Technology is pleased to invite applicants to apply for a PhD position. There is no application deadline for this position.

The aim of this project is to integrate and extend the recently developed machine- and deep learning tools for the identification of nonlinear dynamical systems with a specific focus on (deep) neural networks. Whereas (deep) neural networks have proven their capabilities in many classification and regression tasks, the use of these estimation methods have been less well studied for the purpose of modelling nonlinear dynamical engineering systems. This PhD project aims to surmount these challenges by establishing an innovative synergy between the machine learning and the nonlinear system identification communities. The goal is to develop computationally efficient model learning approaches capable of supporting control synthesis and system design with special attention towards explainable AI approaches. The flexibility of the machine learning framework in defining learning objectives (aim-relevant estimation) and its ability to facilitate optimal recovery of structural relationships (model structure selection) provide novel perspectives in terms of developing dedicated methods to solve the limiting problems the current nonlinear identification theory.
Information on employment conditions can be found here: https://www.tue.nl/en/working-at-tue/why-tue/compensation-and-benefits/
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Summary:
Study in: | Netherlands |
Level: | PhD |
Salary: | Unspecified |
Duration: | Unspecified |
Hours: | Full time |
Certificate: | Unspecified |
Contract: | Temporary |
Deadline: | As soon as possible |
Employer: | Eindhoven University of Technology |
Apply Link: | http://tinyurl.com/y3y6sp33 |
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