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

ABB; Baden; Hybride; CHF 19 000 - 27 000; Plein temps

Résumé du poste

ABB in Baden-Dättwil, Switzerland, invites motivated students to join as a research intern in our sensing and analytics group. You will gain vocational experience by performing tasks under supervision and contribute to ongoing projects in time-series AI and data science.

You will work in a hybrid environment, using Python and ML tools, measure experimental data in the lab, and document methods and results to help the team progress.

Qualifications

• Pursuing a degree in data science or electronics
• Strong physics and electronics knowledge
• Proficient in Python and ML
• Fluent English communication
• Valid Swiss internship visa or university confirmation

Responsabilités

• Explore AI ideas for time-series data augmentation with teams
• Measure experimental data in the laboratory to enrich datasets
• Document methods, findings, and lessons learned clearly
• Use simple physics-based simulations (Modelica or LTSpice) when helpful

Connaissances

Python

Machine learning

Signal processing

Physics

Electronics

English

Formation

Data science

Electrical engineering

Outils

Modelica

LTSpice

Description du poste

At ABB, we help industries run leaner and cleaner- and every person here makes that happen. You'll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This position reports to: R&D Senior Engineer

Your role and responsibilities

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.

The work model for the role is: #LI-Hybrid

This role is contributing to the sensing and analytics research group in Baden-Dättwil, Aargau, Switzerland. Main stakeholders are Automation and Electrification divisions.

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.

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, as well as 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)

Our team dynamics

You will join a dynamic, talented and diverse team, where you will be able to thrive.

Qualifications for the role

• 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

More about us

Electrification provides leading electrical distribution and management technologies, solutions and services to electrify the world in a safe, smart and sustainable way. The portfolio includes medium- and low-voltage electrical components, switchgear, digital devices, enclosures, and circuit breakers, among others. With our products, solutions and services, we collaborate with customers to improve power delivery and security, enhance energy management, efficiency and operational reliability, as we seek to achieve a low carbon society. go.abb/electrification

We look forward to receiving your application.

Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.

Ready to make an impact?