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

Posted One Month Ago
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Mannheim, Baden-Württemberg, DEU
In-Office
Internship
Robotics • Analytics • Energy
The Role
Develop a concept and prototype to automatically extract automation network requirements from textual specifications using machine learning and knowledge extraction; define an information model, implement conversion and a UI for editing/auditing, and verify results with real project data.
Summary Generated by Built In

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, you will be developing 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 frameworks. 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.

    Skills Required

    • Study background in computer science or a related engineering discipline
    • Experience with machine-learning technologies
    • Experience applying ML for software development and knowledge extraction
    • Knowledge of ontologies and knowledge-graphs
    • Knowledge of industrial communication
    • Fluent English (verbal and written)
    • Highly motivated, team-minded, and able to work independently

    ABB Compensation & Benefits Highlights

    The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ABB and has not been reviewed or approved by ABB.

    • Healthcare Strength — Healthcare coverage is described as comprehensive, with medical, dental, vision, mental health support, and disability and life insurance included. Immediate eligibility in some roles reinforces the sense of dependable core coverage.
    • Leave & Time Off Breadth — Time-off offerings are described as broad, including paid holidays, sick days, volunteer time, sabbaticals, and, in some cases, 25 days of PTO. Flexible scheduling and remote-work options add to perceived time-off and flexibility value.
    • Retirement Support — Retirement benefits are positioned as robust, including a 401(k) with company contributions or matching and, in some cases, profit sharing or pension savings. Stock purchase/share acquisition programs complement longer-term savings options.

    ABB Insights

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    The Company
    HQ: Zürich
    104,000 Employees
    Year Founded: 1988

    What We Do

    ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. By connecting software to its electrification, robotics, automation and motion portfolio, ABB pushes the boundaries of technology to drive performance to new levels. With a history of excellence stretching back more than 130 years, ABB’s success is driven by about 110,000 talented employees in over 100 countries. www.abb.com

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