ABB
Thesis Work on Verification of Agentic AI Operations in Industrial Process Plants
Sweden · Work style not stated
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About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerABB
- LocationSweden
- Work styleWork style not stated
- Employer posted
At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world.
This Position reports to:
R&D Team Lead
Your role and responsibilities
Agentic AI systems can autonomously generate operational recommendations for industrial process plants. As industrial operations become increasingly autonomous, there is a growing need for mechanisms that can assess whether AI-generated actions are trustworthy and safe, consistent with plant constraints, and suitable for execution.
This thesis investigates the verification of operational recommendations produced by agentic AI systems in industrial process environments. It contributes to the ongoing development of trustworthy autonomous operations by providing greater confidence in AI-assisted decision-making for industrial processes.
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Details:
- Period: January 2027-June 2027, 5 months
- Number of credits:30 ECTS
- Number of students for this thesis work: 1
- Location: ABB Corporate Research (Västerås)
The goal of this thesis is to develop and evaluate a verification framework that assesses AI-generated operational actions before execution, ensuring they are safe, feasible, and compliant with operational constraints. The framework will be integrated with a process simulator and ABB Ability™ System 800xA® and evaluated with respect to operational performance, reliability, and deployment cost.
Qualifications for the role
- Master’s student with background in control systems, automation, and process engineering.
- Programming experience in Python, MATLAB, or a similar language.
- Basic understanding of process dynamics and simulation.
- Familiarity with optimization, machine learning, or AI concepts is beneficial.
- Interest in industrial automation, decision support systems, and trustworthy AI.
More about us
Recruiting Manager Linus Thrybom, +46 730 80 9906, will answer your general questions. Supervisor Umar Niazi (umar.niazi@se.abb.com) will answer questions about the thesis topic and expectations.
Positions are filled continuously. Please apply with your CV, academic transcripts, and a cover letter in English.
We look forward to receiving your application!
A future opportunity
This role is part of our talent pipeline, which means it’s not currently open, but we’re always looking for curious minds, bold thinkers, and people who want to make an impact.
Click Apply to express your interest and be considered for future opportunities that match your experience and aspirations.
At ABB, we welcome people from all backgrounds and believe that diverse perspectives help us build a cleaner, smarter future.
Apply today or visit https://www.abb.com to learn more about how we help run what runs the world.
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