MSc or BSc Thesis / Internship (m/f/d) AI for Intent-Based Networking

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 Team Lead - Secure Connected Systems __ You   want to support industrial research projects and teams with your interest in   network management and orchestration technologies ,   developing methods to automate network operation beyond office IT for industrial   use-cases   with   state of the art   networking technologies ?

Then join ABB, a global key player in industrial automation and smart electrification , as an intern or student worker . Apply your   skills and grow personally   in a challenging and fascinating environment .

ABB is a technology leader driving the digital transformation of industries toward autonomous industrial plants and buildings.   Industrial systems   comprise   automation systems, networks and devices, software tools and platforms, and control solutions.

In the ABB Research Center Germany ,   we focus on innovating digital industries and smart and sustainable electrification systems. In our team, we contribute to these goals with connectivity, system integration, and applied security competencies .

Become a member of our team and be part of the projects and research teams and their endeavor of   demonstrating   great results   in an industrial automation environment and   by   supporting with   UX approaches as well as prototype user interfaces.

Key responsibilities The work model for the role is: #LI-Hybrid You will be mainly accountable for: • In close collaboration with our research team,   y ou will be d eveloping a   concept to   automatically generate   requirements   for automation networks   from   textual specifications .

• Analyzing the problem and conceptualizing a solution concept: define   a target information model to capture   the requirements . Consider   the   different types   of traffic and   specifications, which might require different approaches to extract the needed information.

• Implementing the concept: build the conversion concept using existing framework s . Create a user interface to show,   modify ,   add   and audit the extracted   requirements .

• Verification:   use   real project data to test the implementation. Define and run   an approach to assess the quality and coverage of the result,   i.

e.   the   validity of the requirements   and   potential gaps in the extraction process. Qualifications for the role •   We expect you to bring creativity, initiative, and result orientation to support driving our innovations toward new products and services.

• You have   a study   background in computer science   or a related   engineering   discipline . You bring experience   with machine-learning technologies , preferably for both software development and knowledge extraction .

A   further   knowledge of ontologies and knowledge-graphs   or industrial communication   is a benefit. • You are highly motivated, team-minded, and able to work independently.

• Fluent English in verbal and written form is   required . Interested in joining our team? We are looking forward to receiving your complete application (CV, Cover letter, Transcript of records) through our online tool.

In the case of equal suitability, people with severe disabilities and their equals are given preference. ABB AG +49 (0) 621 381 3500 Be part of something bigger.

This is where progress is powered, teams initiate action, and we move the world forward—together. Run What Runs the World. #ABBCareers #RunwithABB #Runwhatrunstheworld 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? Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.