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Alisa Rupenyan-Vasileva

7 months ago

Postdoctoral Researcher in AI, Adaptive Control, and Digital Twins for Advanced Manufacturing Zurich University of Applied Sciences in Switzerland

Degree Level

Postdoc

Field of study

Computer Science

Funding

The position is supported by NCCR Automation and offers working conditions and terms of employment commensurate with higher education institutions in Switzerland. Salary and pension provision are included, with additional benefits such as work-life balance, diversity and inclusion, personal development, and occupational health management. The position is temporary for one to two years.

Deadline

Expired

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Country

Switzerland

University

Zürcher Hochschule für Angewandte Wissenschaften

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Keywords

Computer Science
Machine Learning
Electrical Engineering
Artificial Intelligence
Natural Language Processing
Reinforcement Learning
Automatic Control
Optimisation
Robotics
Control System
Digital Twins

About this position

The ZHAW Centre for Artificial Intelligence (CAI) at Zurich University of Applied Sciences is seeking a motivated postdoctoral researcher to join its Industrial AI group. This position focuses on combining artificial intelligence, adaptive control, and digital twins to optimize advanced manufacturing systems. The research aims to address challenges such as variability, non-stationarity, and the need for interpretable automation in manufacturing environments. The successful candidate will develop frameworks for real-time adaptation, integrating probabilistic models and large language models (LLMs) to translate text-based commands, infer logical rules, and incorporate expert feedback. The work will be demonstrated on robotic systems in the lab and in collaboration with Swiss industry partners.

The project is part of the NCCR Automation consortium and offers excellent opportunities for collaboration with both academic and industrial partners, including ETH Zurich and inspire AG. The postdoctoral researcher will support and supervise PhD, bachelor, and master students, contribute to teaching, publish in scientific journals, and participate in conferences. The position is temporary (one to two years) and provides opportunities for developing project management, leadership, and proposal writing skills.

Applicants should hold a doctoral degree in electrical, mechanical, or industrial engineering, robotics, computer science, or related fields, with a focus on control systems, optimization, or natural language processing. Experience in adaptive control, reinforcement learning, or LLM applications is highly beneficial. Strong programming skills in Python, modeling, and data analysis are required. Fluency in English is essential, and knowledge of German is advantageous. Candidates should be autonomous, collaborative, and interested in managing large-scale projects.

The ZHAW offers competitive employment conditions, including salary, pension provision, work-life balance, diversity and inclusion, personal development, and occupational health management. The Centre for AI is a Center of Excellence with a growing number of research groups in various domains, specializing in the improvement and automation of complex manufacturing systems.

To apply, submit a tailored cover letter, transcripts of grades, and two reference contacts via the ZHAW online job portal. The application deadline is February 20, 2026. For further information, contact Prof. Dr. Alisa Rupenyan-Vasileva ([email protected]) or Jocelyn Schaad ([email protected]).

Funding details

The position is supported by NCCR Automation and offers working conditions and terms of employment commensurate with higher education institutions in Switzerland. Salary and pension provision are included, with additional benefits such as work-life balance, diversity and inclusion, personal development, and occupational health management. The position is temporary for one to two years.

What's required

Applicants must have a doctoral degree in electrical, mechanical or industrial engineering, robotics, computer science, or related topics in machine learning or AI, with a focus on control systems, optimization, or natural language processing. Experience in adaptive control, reinforcement learning, or LLM applications is highly beneficial. Candidates should have research experience, an active interest in manufacturing processes and automation, and strong programming, modeling, and data analysis skills in Python. Fluency in English is required; German is beneficial. Applicants should be autonomous and interested in managing large-scale collaboration projects. A tailored cover letter, transcripts of grades, and two reference contacts are required.

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