This internship in Domain Adaptation for Time-Series using Deep-Learning at ABB offers vocational experience through a temporary work placement in Baden-Dättwil, Aargau, Switzerland. The role provides hands-on exposure to innovative projects within the sensing and analytics research group and encourages collaboration, innovation, and clear documentation, fostering both personal and professional growth within a dynamic, diverse team.
Tasks
- Explore new ideas and develop early-stage AI approaches for time-series data augmentation.
- Collaborate cross-functionally to support ongoing activities.
- Review and compare generated data with real field data to improve result usefulness.
- Take ownership of measuring experimental data in the laboratory to enrich the dataset.
- Deliver high-quality documentation of work, including methods, findings, and lessons learned, to ensure clear follow-up and progress.
- Help drive innovation in using simple physics-based simulations, such as Modelica or LTSpice, when helpful to complement AI-generated data.
Requirements
- You are currently pursuing a degree in data science, signal processing, electronics, or a related discipline.
- Enrollment to 5th semester or higher is essential.
- You are highly skilled in physics and electronics.
- You enjoy working with Python and machine learning.
- You are comfortable communicating in English.
- You hold a current valid VISA/work permit for Switzerland or a confirmation for a mandatory internship from your university.
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Über uns
Das Team
The team fosters collaboration, innovation, and clear documentation, supporting both personal and professional growth within a dynamic, diverse environment.