Thesis Work on Verification of Agentic AI Operations in Industrial Process Plants

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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.

Period: January 2027-June 2027, 5 monthsNumber of credits: 30 ECTSNumber of students for this thesis work: 1Location: 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.

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 ([email protected]) 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.

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