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Research Intern – Machine learning and digital twins

ETH Zürich -
Zürich, ZH

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Détails de l'emploi

100%

Qualifications

Ingénierie mécanique
Anglais
Recherche
Connaissances en mécanique
Python
Allemand

Description complète du poste

Research Intern – Machine learning and digital twins

100%, Zurich, fixed-term

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 position in collaboration
with an industry partner.

Project background

Our research group works on increasing the efficiency of robotics systems in real-world deployment
by enabling quick data collection, calibration, and policy training while ensuring safety and efficiency.
For this, we develop novel learning-based control and policy optimization techniques.

We're looking for a skilled machine learning (ML) engineer to develop cutting-edge AI algorithms for
digital twin applications in real-world industrial systems. The digital twin applications will include process
monitoring, estimation, analysis, optimization, and control policy development. The project requires
hands-on expertise in ML, time-series forecasting, modelling, and control of industrial plants.

Job description

Develop customized Digital Twins for industrial applications using ML from real data
Develop and maintain the codebase to support various training modules and libraries
Collaborate with our industrial partner and collect extensive datasets on real hardware
Design and deploy control policy on industrial applications

Profile

Required experience

Pursuing a master’s degree (university) in robotics, electrical or mechanical engineering, or CS.
Practical knowledge of time series modelling, seq2seq, and data-driven digital twin models (e.g.,
Transformers, Mamba, LSTMs) with applications in industry.
Knowledge/courses taken on estimation theory, network modeling, and graph theory are a plus.
Excellent coding skills in python, ROS, and ML pipeline experience on simulator and training libraries.
Good foundation in linear algebra, numerical methods, optimization, and control theory.
An excellent knowledge (written/oral) of English is a must. Knowledge of German is beneficial.

Required people skills

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.

Workplace

We offer

We offer an internship position in our group, Control and Automation at inspire AG. 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 industrial AI/ML.

Curious? So are we.

Please send your full application to our HR departement hr@inspire:

Cover letter
Transcripts
CV
References

For technical questions, please contact Dr. Efe Balta ([email protected]) and Dr. Muhammad
Zakwan ([email protected]).

Please also visit our websites www.inspire.ch and https://control.ee.ethz.ch.

By submitting application documents, you accept the provisions of the privacy policy of inspire.
Applications received by August 31, 2026 will receive full attention.

Please note that we only accept applications submitted via ([email protected]). Applications sent
to other emails or postal services will not be considered.

Soumettre votre candidature

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : learning development intern (zürich zh)

Afficher des offres d'emploi dans d'autres lieux

Research Intern – Machine learning and digital twins

100%, Zurich, fixed-term

Project background

Job description

Profile

Workplace

Workplace

We offer

Curious? So are we.

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