Research Intern - Machine learning and digital twins

Immigration Policy Lab; Zürich; Vor Ort; CHF 11.160 - 20.088; Vollzeit

Zusammenfassung

inspire AG in Zurich invites applications for a Research Intern in Machine Learning and digital twins. You will develop customized Digital Twins for industrial applications using ML on real data, and maintain the codebase for training modules and libraries.

Collaborate with our industrial partner to collect extensive datasets from real hardware and design control policies for industrial use. The role requires a master's student in robotics/EE/Mech/CS, strong Python and ROS skills, and

Qualifikationen

• 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 modelling, 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, optimisation, and control theory.
• An excellent knowledge (written/oral) of English is a must. Knowledge of German is beneficial.

Aufgaben

• 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.

Kenntnisse

Time series modelling

Seq2seq

Digital twin modelling

Transformers

Mamba

LSTMs

Estimation theory

Network modelling

Graph theory

Python

ROS

ML pipeline

Linear algebra

Numerical methods

Optimization

Control theory

English proficiency

German knowledge

Ausbildung

Master's degree in robotics/EE/mechanical engineering/CS

Tools

ROS

Simulation libraries

Training libraries

Python ecosystem

Jobbeschreibung

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 modelling, 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, optimisation, and control theory.
• An excellent knowledge (written/oral) of English is a must. Knowledge of German is beneficial.

Required people skills

• Highly self‑organised 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

Zurich

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.