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Postdoctoral Researcher – Iterative Learning Control of Industrial Systems

Job in Zürich, 8081, Zurich, Kanton Zürich, Switzerland
Listing for: Master in Integrated Building Systems ETH Zürich
Full Time position
Listed on 2026-09-08
Job specializations:
  • Engineering
    Robotics, Research Scientist, Mechanical Engineer
  • Research/Development
    Robotics, Research Scientist
Salary/Wage Range or Industry Benchmark: 90000 - 130000 CHF Yearly CHF 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Location: Zürich

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 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.

For technical questions, please contact Dr. Efe Balta, Head of Control and Automation (efe.balta). Please also visit our website (Use the "Apply for this Job" box below). and the Automatic Control Lab .

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