Internship / Masterthesis (m/f/d) - Process Modeling and Data Analytics

At ABB, we are dedicated to addressing global challenges. Our core values: care, courage, curiosity, and collaboration - combined with a focus on diversity, inclusion, and equal opportunities - are key drivers in our aim to empower everyone to create sustainable solutions. That's our story. Make it your story.

This position reports to

R&D Team Lead

Your role and responsibilities

Looking for a taste of working life in an international, future-focused corporate group? Then join us as an intern (m/f/d) and familiarise yourself with a suitable department for 3 to 6 months. You will be involved in large-scale projects and perform a defined set of duties independently. Use your internship to build a network and become familiar with our company. Our research team works on combining data driven and physics-informed AI technics to improve the automation system in process industry. Your work will focus on analyzing laboratory sensing data and physics-informed machine learning model to predict and estimate the health condition of a mechanical system, and hands-on with ABB test bench environment is also expected. The following tasks and responsibilities will be part of your role: • You are interested in the domain of data analytics, machine learning, numerical simulation, or process simulation. • You will work on data analytics for industrial applications or development of numerical simulation for process automation. • You will develop mainly python packages for industrial use cases, with minor C++/C# implementation. • Close collaboration with our scientists, you will help to design, analyze, and test our software prototypes and algorithms. • We expect that you show above-average motivation to develop demonstrators and software prototypes and proactiveness to come up with new concepts and ideas on how to overcome possible challenges. • You might also develop python-based web applications for demonstrating the algorithms and results.

Qualifications for the role

• Enrolled in a Master's program in Natural Sciences (e.g., Mathematics, Physics) or Engineering (e.g., Mechanical, Electrical, Informatics).
• Strong programming skills in Python and shell scripting.
• Experience with machine learning libraries (TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy).
• Familiar with Git, Linux systems, and shell scripting.
• Basic knowledge of Matlab/Simulink and C++/C#.
• Nice to have: Experience with Java/JavaScript and Azure Cloud Services.
• Fluent English (spoken & written); German is a plus.
• Self-motivated and able to work independently.

More about us

We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe. #MyABBStory We believe in fairness, so interns who join us will benefit from our expertise as they expand their own knowledge. Your time is valuable, so you will receive appropriate remuneration for the duration of the internship. Please state whether you are applying for a voluntary internship or undertaking a mandatory internship, and be sure to enclose your certificate of enrolment. In the case of mandatory internships, please include the corresponding extract from your university’s internship guidelines. Interested? Then we look forward to receiving your informative application (cover letter, CV, certificate of enrolment, current transcript of grades and other supporting documents) through our online careers tool.