Master Thesis in Predictive Traffic Modeling for Automated Guided Vehicles

About the ProjectAt Kollmorgen Automation Ab, we are seeking a highly skilled Research Scientist to contribute to our cutting-edge project on Graph Neural Networks for predictive traffic modeling in Automated Guided Vehicles. This project aims to accelerate the deployment of automation in intralogistics and improve user experience.BackgroundAn Automated...

Research OpportunityWe are seeking a highly motivated and skilled researcher to join our team at Kollmorgen Automation AB. As a Master Thesis Researcher, you will have the opportunity to apply Deep Learning to a real-world problem while researching novel representation of graph data.About the ProjectOur project focuses on the application of Graph Neural...

Contribute to Ground-Breaking Improvements in User ExperienceKollmorgen Automation AB is seeking a highly skilled researcher to join our team and work on a master thesis project focused on predictive traffic modeling in Automated Guided Vehicles (AGVs).About the ProjectThe goal of this project is to develop novel mechanisms to embed traffic rules into the...

Research OpportunityWe are seeking a highly motivated researcher to join our team at Kollmorgen Automation AB and contribute to the development of novel representation of graph data using Deep Learning.The successful candidate will have the opportunity to apply their skills in Machine Learning to a real-world problem, specifically predictive traffic modeling...

Researcher for Predictive Traffic Modeling in AGVsWe are seeking a researcher to join our team at Kollmorgen Automation Ab to work on a project involving the application of Graph Neural Networks for predictive traffic modeling in Automated Guided Vehicles.BackgroundAn Automated Guided Vehicle (AGV) system is a fleet of mobile robots that automatically...

Unlock the Potential of Graph Neural NetworksAre you passionate about applying machine learning to real-world problems? Do you want to contribute to cutting-edge research in Automated Guided Vehicles (AGVs)? We invite you to join Kollmorgen Automation AB as a Master Thesis Researcher to explore the application of Graph Neural Networks for predictive traffic...

Background: Automated Guided Vehicles (AGVs) rely on efficient network design to minimize traffic congestion. However, simulation-based verification can be time-consuming, leading to increased costs. Goal: Apply Machine Learning to speed up design process by predicting traffic consequences of different design choices. Your Role: Expand the capability of...

About the RoleWe are seeking a highly motivated Master Thesis Researcher to join our team at Kollmorgen Automation Ab. The successful candidate will have the opportunity to apply Deep Learning to a real-world problem, researching novel representation of graph data.Collaborate with domain experts to represent traffic rules in a graph-like data...

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