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.