The Department of Computer Science at Lund University, Sweden, is offering a fully funded PhD position in Computer Science with a focus on Sensor Fusion for Multi-task Learning. This opportunity is part of the ELLIIT strategic research environment, funded by the Swedish government, and is based within the Robotics and Semantic Systems (RSS) division. The division is renowned for its research in Robotics, AI, Intelligent Autonomous Systems, Robot Learning, Machine Learning, Human-Robot Interaction, and Natural Language Processing. The RSS division collaborates closely with the Department for Automatic Control and operates the RobotLab LTH, a state-of-the-art facility for robotics research and education. The PhD project centers on developing advanced AI methods for multi-modal sensor fusion, such as integrating 2D RGB images and 3D point clouds, to optimize perception tasks like object detection and semantic segmentation. The research aims to enhance robot situational awareness in challenging environments and is conducted in collaboration with a research group at Linköping University. The project is supervised by Assoc. Prof. Eren E. Aksoy (Lund University) and Assoc. Prof. Gustaf Hendeby (Linköping University). Applicants should have a strong background in Computer Science, AI, and Machine Learning, with solid mathematical and programming skills. Experience in robotics, robot perception, sensor fusion, semantic scene understanding, and familiarity with tools such as ROS/ROS2 and PyTorch are highly valued. The position requires a Master's degree or equivalent, excellent English proficiency, and the ability to work independently and collaboratively. The PhD program includes participation in research projects, coursework, seminars, conferences, and teaching (up to 20% of working hours). The employment is full-time for four years, with a monthly salary and benefits, and may be extended for departmental duties. The successful candidate will have opportunities for travel, collaboration with academic and industrial partners, and participation in the annual ELLIIT Workshop. Applications must be submitted online via the Lund University vacancies portal by March 6, 2026. Required documents include a CV, cover letter, degree certificates, transcripts, and any other supporting materials. Applications sent by email will not be considered. For more information, contact Assoc. Prof. Eren E. Aksoy at [email protected]. Keywords: Sensor Fusion, Multi-task Learning, Robotics, Artificial Intelligence, Machine Learning, Computer Science, Robot Perception, Semantic Segmentation, Object Detection, Deep Learning.

The Department of Computer Science at Lund University, Sweden, is offering a fully funded PhD position in the area of Sensor Fusion for Multi-task Learning, with a strong focus on robotics, artificial intelligence, and machine learning. The position is part of the ELLIIT strategic research environment, which supports cutting-edge research in information technology and mobile communications. The successful candidate will join the Robotics and Semantic Systems (RSS) division, a vibrant research environment specializing in Robotics and AI, Intelligent Autonomous Systems, Robot Learning, Human-Robot Interaction, and Natural Language Processing. The PhD project aims to develop advanced AI methods for multi-modal sensor fusion, such as combining 2D RGB images and 3D point clouds, to optimize perception tasks like object detection and semantic segmentation. The research is highly interdisciplinary, involving collaboration with Linköping University and participation in national and international research networks. The project is supervised by Associate Professor Eren E. Aksoy (Lund University) and Associate Professor Gustaf Hendeby (Linköping University). Applicants should have a strong background in computer science, engineering, or related fields, with solid mathematical and programming skills. Experience in AI, machine learning, deep learning, and robot perception is highly valued. Familiarity with tools such as ROS/ROS2 and PyTorch is considered an asset. Excellent written and spoken English is required, and candidates should demonstrate the ability to work independently and collaboratively in a research setting. The position is fully funded, offering a monthly salary, full-time employment for four years, and benefits including generous annual leave and a pension scheme. The employment includes opportunities for travel to conferences and project meetings, as well as participation in the annual ELLIIT Workshop. The doctoral program involves both research and coursework, with the goal of producing a doctoral thesis in computer science. To apply, candidates must submit their application through the official Lund University vacancies portal by March 6, 2026. Required documents include a CV, cover letter, degree certificates, transcripts, and any other supporting materials. Applications sent via email will not be considered. For more information, visit the official job posting or contact the main supervisor, Associate Professor Eren E. Aksoy. Keywords: Sensor Fusion, Multi-task Learning, Robotics, Artificial Intelligence, Machine Learning, Computer Science, Robot Perception, Semantic Segmentation, Object Detection, Deep Learning.

Lund University, one of the world's top universities, is offering a fully funded PhD position in Computer Science with a focus on Sensor Fusion for Multi-task Learning. The position is based at the Division for Robotics and Semantic Systems (RSS), Department of Computer Science, Faculty of Engineering (LTH), in Lund, Sweden. The research group specializes in Robotics, AI, Intelligent Autonomous Systems, Robot Learning, Machine Learning, Human-Robot Interaction, and Natural Language Processing, and collaborates nationally and internationally with both academic and industrial partners. The PhD project, supervised by Assoc. Prof. Eren E. Aksoy (Lund University) and in collaboration with Assoc. Prof. Gustaf Hendeby (Linköping University), aims to develop advanced AI methods for multi-modal sensor fusion (e.g., combining 2D RGB images and 3D point clouds) to optimize perception tasks such as object detection and semantic segmentation. The research targets reliable robot situational awareness in adverse environments, contributing to the next generation of intelligent autonomous systems. Applicants should have a strong background in Computer Science, Engineering, or related fields, with excellent mathematical and programming skills. Experience in Artificial Intelligence, Machine Learning, Deep Learning, and preferably robot perception or sensor fusion is required. Familiarity with tools such as ROS/ROS2 and PyTorch is an advantage. Candidates must demonstrate the ability to work independently, solve research problems, communicate effectively in English, and collaborate within a diverse research environment. The position is a full-time, fixed-term employment for four years, with a monthly salary and full social benefits, including pension and generous annual leave. The role may include up to 20% teaching or departmental duties, with corresponding extension of the contract. The PhD student will have opportunities for travel to conferences and project meetings, and will participate in the annual ELLIIT Workshop. The start date is as soon as possible, but no later than December 15, 2026. To apply, submit your application in English via the Lund University job portal, including a CV, cover letter, degree certificates, transcripts, and any other supporting documents. The deadline for applications is March 6, 2026. For more information, contact Assoc. Prof. Eren E. Aksoy at [email protected]. Keywords: Computer Science, Sensor Fusion, Multi-task Learning, Robotics, Artificial Intelligence, Machine Learning, Robot Perception, Semantic Segmentation, Object Detection, Deep Learning.