Research Associate in "Data-driven control for nonlinear systems" (m/w/d)
Contributed by: Naim Bajcinca, mec-apps@mv.uni-kl.de
Research Framework
Designing control laws based on a model that is obtained by first principles or is identified using input/output data is commonly known as model-based control. An inherent limitation of model-based control is, thus, that it requires a system model for the development of control laws. However, due to the complex nature of recent control systems, it is not always possible to derive a model using first principles or system identification algorithms. With that in mind, data-driven methods, which skip the intermediate step of modeling the system, to investigate control systems have been proposed and they have become a topic of increasing interest in recent times. However, most of these developments are limited to linear systems.
Task Description
In terms of this position, we are looking for someone who can perform exploratory research on data-driven control for classes of nonlinear systems. In particular,
- study the structural properties such as controllability and observability of systems based on measurements;
- design state/output feedback control laws such that the closed-loop system satisfies certain desired properties, for example, stability;
- develop data-driven methods for input or state estimation;
- collaborate closely with academic researchers who are specialized in one or more areas such as control theory, machine learning, and applied mathematics.
Qualification
- Above-average master's degree in applied mathematics or control engineering
- Knowledge of at least one programming language: Matlab or Python
- Proficiency in English
- Highly motivated and eager to work within a team or independently
Application procedure and deadline:
Applications must include the following elements (as a single PDF file):
- Cover letter with a brief description of why you want to pursue research studies, about what your academic interests are, and how they relate to your previous studies and future goals
- CV including your relevant professional experience and knowledge
- Copies of diplomas and grades from previous university studies
- Two references
- List of publications
Send an email with the required documents to the address: @mec-apps@mv.uni-kl.de. We will process your application as soon as received. The application deadline is 12:00 AM CEST 30 June 2024.
For more information, visit our webpage: https://mv.rptu.de/fgs/mec/research
