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Internship / Master Thesis Student (m/f/d) AI for Network Security and Orchestration

ABB is hiring an Internship / Master Thesis Student (m/f/d) AI for Network Security and Orchestration. Level rates it ; you can apply on ABB.

Level's read on this job

  • Builds AI ●●●● is how Level rates this role: the job is building AI systems.
  • The posting mentions Python, PyTorch and Generative AI among its tools and skills.
  • Level classes it as an internship.
  • ABB has 2,200+ other open roles on Level.

AI in this role

Research intern to develop and implement AI models for network security, anomaly detection, and automated orchestration in industrial networks.

PythonPyTorchGenerative AI
machine-learningnetwork-securityanomaly-detectionindustrial-automation

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 given your interest in using AI, and specifically Generative AI for network security and industrial network orchestration? Then join ABB, a global key player in industrial automation and smart electrification, as an intern or Master thesis student. 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 by leveraging AI models that can interact with the network to have better understanding the status of the industrial networks and orchestrate the network to improve network performance and security.

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 engage in investigating, prototyping and developing demonstrators, e.g., future industrial networks, Industry 4.0 applications, role of AI in industrial networking or innovative solutions protecting our customers against various network security attacks.
  • More specifically, you will implement AI methods to interact with the network and understand the situations, events, and failures in an industrial network and then reconfigure the network to provide better performance and security. You will work on the AI solution to process network data, detect anomalies, and thereby reconfigure the network.

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 communication systems, secure connected systems, machine learning, computer science, or similar background.
  • You bring experience with networking and network security, especially ethernet-based networking, in addition to your background in ML solutions for network security purposes. Experience in LLMs, Generative AI in addition to having a good understanding about industrial networks can be considered as big advantages.
  • 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.

How we rate this

Internship / Master Thesis Student (m/f/d) AI for Network Security and Orchestration at ABB rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningNetwork SecurityAnomaly DetectionIndustrial AutomationPythonPyTorchGenerative AI

Questions you could be asked

  1. Tell me about a project where machine learning was part of your work. What did you do?
  2. Tell me about a project where network security was part of your work. What did you do?
  3. Tell me about a project where anomaly detection was part of your work. What did you do?
  4. Tell me about a project where industrial automation was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Machine learning, Network Security, Anomaly Detection, Industrial Automation, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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