Internship in Domain Adaptation for Time-Series Using Deep-Learning (80-100%)

Description

In this role, you will have the opportunity to gain vocational experience through a temporary work placement. Each day, you will acquire knowledge by performing tasks as directed. You will also showcase your expertise by supporting ABB’s operations and enhancing personal education/employment opportunities.

This role is contributing to the sensing and analytics research group in Baden-Dättwil, Aargau, Switzerland.

Ignite your career in data science and signal processing by contributing to our innovative projects as a research intern. Leverage your technical skills to enhance the precision and efficiency of our measurement systems.

Responsibilities

You will be mainly accountable for:

• Exploring new ideas and developing early‑stage AI approaches for time‑series data augmentation, while working closely with different teams to support ongoing activities.
• Reviewing and comparing generated data with real field data to help reduce differences and improve the usefulness of the results.
• Measuring experimental data in the laboratory to enrich your dataset.
• Documenting your work clearly, including methods, findings, and lessons learned, to ensure the team can easily follow and build on your progress.
• Using simple physics‑based simulations (e.g., Modelica or LTSpice) when helpful to complement the AI‑generated data. (Optional)

Qualifications

You are currently pursuing a degree (enrollment to 5th semester or higher is essential) in data science, signal processing, electronics or a related discipline
You are highly skilled in physics and electronics and you enjoy working with python, machine learning
You are the innovator who makes things work, and the scientist who investigates why they don’t
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