Postdoctoral Researcher - Iterative Learning Control of Industrial Systems

# Postdoctoral Researcher - Iterative Learning Control of Industrial Systems #

#### 100%, Zurich, permanent ####

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inspire AG is the leading Swiss competence centre for product innovation and advanced manufacturing. As a strategic partner of ETH Zurich, our mission is to transfer knowledge and technology from research to Swiss machine, electrical and metal industries.

The research group Control and Automation at inspire AG offers the following postdoctoral position as part of an industrial collaboration with a Swiss industry partner, and the Automatic Control Laboratory (IfA) at ETH Zurich.

Planned start date for the position is October 2026.

## Project background ##

Our research group works on increasing the efficiency of industrial systems in real-world deployment by enabling process monitoring, learning, and policy training while ensuring safety and efficiency. For this, we develop novel learning-based control methods with practical applicability and theoretical guarantees.

## Job description ##

We're looking for a skilled Postdoctoral Researcher to develop and deploy cutting-edge Iterative Learning Control (ILC) algorithms on real-world industrial platforms. The project requires good theoretical and hands-on expertise. Perfectly suited for those at the intersection of theory and application.

* Develop customized ILC and parameter optimization algorithms for industrial applications, going from theoretical analysis to implementation and testing on real systems

* Develop adaptive control and estimation schemes to support hardware implementation

* Collaborate closely with our industry partner to solve unique problems

## Profile ##

* PhD degree in robotics, electrical or mechanical engineering, CS, or relevant fields

* Solid understanding of learning-based control methods and knowledge of iterative learning control theory with applications to industrial systems

* Excellent foundation in linear algebra, numerical methods, optimization, and control theory

* Background in online optimization theory and adaptive control theory is a plus

* Hands-on experience with industrial control systems is a plus

* An excellent knowledge (written/oral) of English is a must. Knowledge of German is beneficial

* Highly self-organized and structured way of working and solution orientation

* High motivation and willingness to learn new skills

* High level of teamwork, positive work attitude and creativity

* Willingness to supervise and support student projects

## Workplace ##

## Workplace ##

## We offer ##

We offer a full-time position for a postdoctoral researcher in our group as part our industrial collaboration project. Through the close cooperation with our project partner, you will quickly establish contacts to industry. In our young team you will work at the forefront of today's knowledge in learning-based industrial control.

## Curious? So are we. ##

Please send your full application to our HR department hr@inspire.ch with the reference -ILC Postdoc- including the following documents:

* CV

* Cover letter

* Transcripts

* 2-3 reference contacts

* 2 representative publications

For technical questions, please contact Dr. Efe Balta, Head of Control and Automation (efe.balta@inspire.ch). Please also visit our website www.inspire.ch and the Automatic Control Lab https://control.ee.ethz.ch.