Research Intern – Machine learning and digital twins 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.
Responsibilities
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.
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.
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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.
Responsibilities
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.
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.
#J-18808-Ljbffr
Research Intern – Machine learning and digital twins Arbeitgeber: Eidgenössische Technische Hochschule Zürich
Als Software Research & Development Engineer bei ETH Zürich profitieren Sie von einer inspirierenden und kollaborativen Arbeitsumgebung in einer weltweit anerkannten Forschungseinrichtung. Wir bieten spannende Herausforderungen, vielfältige Projekte und die Möglichkeit, Ihre Fähigkeiten weiterzuentwickeln, während Sie an der Schnittstelle zwischen Forschung, Technik und Betrieb arbeiten. Unsere Kultur fördert Vielfalt und Inklusion, und wir setzen uns aktiv für eine nachhaltige Zukunft ein.
Kontaktdaten:
Eidgenössische Technische Hochschule Zürich Recruiting-Team
