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Field
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at least one of the key areas (i.e., generative AI in 3D environments, sensor systems, collaborative robotics). Personal suitability and motivation for the position. Qualifications considered an advantage
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selection criteria Knowledge and skills in the following areas: Robotics, computer science, computer vision, machine learning, state estimation, perception, sensor fusion, autonomous systems, navigation and
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application process here. About the position Field Robotics focuses on developing resilient robotic systems able to perform operations in diverse and highly dynamic environments and it has applications across
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than 1,800 employees and nearly 21,600 students. The Robotics and Artificial Intelligence subject, RAI, at the department of Computer Science, Electrical and Space Engineering at Luleå University
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solutions. Working at the frontier of autonomy and robotics, the successful candidate will contribute to technologies that enable deeper understanding and sustainable use of the oceans, with influence across
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Your Job: The PhD position is offered within the Cluster of Excellence PhenoRob – Robotics and Phenotyping for Sustainable Crop Production. We are looking for a highly motivated PhD candidate
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-level APIs to access various data sources, sensors, together with procedural data flow constructs to create and maintain complex data curation scripts (e.g., using Python). In smart robotic agriculture
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Exploring Robotics in Architecture Project Overview This PhD project investigates how robotics can be integrated into architectural systems, bridging the disciplines of robotics, artificial
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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Doctoral Researchers (PhD students) to work on deep learning methodologies for machine and robot perception. These positions are funded by the Horizon Europe project OPERA (Open Perception, Learning, and