Thesis opportunities- Reasoning agents for solving machine vision tasks
At SICK, we develop SICK Nova, a software platform and user interface that enables users to configure image processing on cameras to solve industrial applications such as counting, measuring, and quality inspection. However, this configuration process can be challenging for users without deep expertise in machine vision.
Recent research explores the use of Large Language Models (LLMs) as reasoning and planning agents to solve real-world problems. These include tasks such as navigating phone calls, completing video games, and browsing websites to purchase products.
This thesis investigates how reasoning agents based on LLMs can be designed and applied to automatically solve vision applications.
Research Questions
- Which models work best for vision-related reasoning tasks?
- For which types of applications is this approach most effective?
- How should the available tooling for the LLM be designed?
- What is the most effective way to represent the camera’s state and data?
Prerequisites
An interest in or prior experience with multimodal LLMs is beneficial.
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.