Thesis opportunity- Designing for Seamless AI Integration

How can AI be integrated into industrial user interfaces in a way that feels natural, intuitive, and unobtrusive?

This thesis explores how AI can support users in machine vision environments without drawing attention to itself. No “AI” buttons, no flashy automations, instead, the focus is on subtle, context-aware design that enhances the user experience while keeping the interface familiar and efficient.

The work will be based on UI/UX research and investigate how AI-driven features (such as tool suggestions, adaptive settings, or contextual help) can be embedded into existing workflows. The goal is to make AI feel like a natural part of the interface, something users benefit from without necessarily realizing it’s AI.

Possible questions to explore:

• How can AI-driven features be surfaced without disrupting the user’s flow?
• How can contextual cues be used to trigger AI support naturally?
• How can AI help users discover the advanced features through subtle, context-aware hints?
• How can seamless AI integration improve onboarding and usability for non-expert users?
• What are users’ perceptions of AI when it’s not explicitly labeled as such?
• What evaluation methods best measure the effectiveness of such solutions

Prerequisites

You should have a general interest in user interface and user experience design, and some experience with prototyping or front-end development. A basic understanding of image processing and machine vision concepts is valuable, and familiarity with AI technologies, such as image-based inference, prompt-driven interaction, or intelligent tool suggestions is beneficial. Most importantly, you should be curious about how to design intuitive interfaces that make AI feel like a natural part of the user experience.

Contact

For more information about the position, contact:

John Stynsberg, Software Developer, john.stynsberg@sick.se

or

Sarah Lantz, HR Business Partner, +46 739 10 99 37.

We warmly welcome your application — please submit it no later than October 26th.

SICK is a world-leading supplier of sensors and sensor solutions for industrial applications. We’re part of SICK AG — a global leader in sensor technology with 10,000 employees across 50 countries and headquarters in Freiburg, Germany. Together, we build technology that makes industries more efficient, intelligent, and safe.

 As a Machine Vision Innovation Center, SICK Linköping develops high-performance cameras and advanced AI-powered software that drives the future of both manufacturing and logistics automation. Whether it’s helping robots pick the right item or enabling high-precision quality control with 2D and 3D vision, our solutions bring clarity, speed, and smart decision-making to complex industrial environments — all driven by a dedicated team of 100 colleagues.

We are very proud of being a healthy and attractive workplace. We have consistently been recognized as one of the best workplaces in Sweden according to the Great Place to Work survey. We actively work to reduce our climate footprint and engage in various initiatives to contribute to society and enhance diversity at our workplace.