The University of Luxembourg, a leading international research university, is offering a postdoctoral position in SLAM (Simultaneous Localization and Mapping) and situational awareness for robotics within the Automation & Robotics Research Group (ARG) at the Interdisciplinary Centre for Security, Reliability and Trust (SnT). The successful candidate will contribute to cutting-edge research in perception and situational understanding for robots and autonomous systems, advancing the state-of-the-art in SLAM, computer vision, machine learning, and related fields. The role involves developing and implementing innovative solutions, validated through experiments on robotic platforms, and disseminating research findings through top-tier journals and conferences. The postdoc will take a leading role in research projects, collaborate with stakeholders, prepare project deliverables, and participate in securing industry partnerships and grant funding. Mentoring and supervising PhD students is also part of the responsibilities. Applicants should have a strong research background in SLAM, robotics, computer vision, or machine learning, with a proven publication record, solid mathematical and programming skills (Python/C++), and familiarity with relevant frameworks (ROS, GTSAM, G2O, OpenCV, PyTorch, TensorFlow). Experience with industry or publicly funded projects is desirable. The position offers a fixed-term contract for 24 months, full-time, with a yearly gross salary of EUR 85,176. The university provides a modern, international, and dynamic environment with high-quality equipment and strong ties to industry and European institutions. Applications must be submitted online, including a CV, cover letter, publication list, academic qualifications, research experience, programming skills, referees, and optionally a short video introduction. Early applications are encouraged, and all qualified individuals are welcome to apply in line with the university's commitment to inclusivity and equality.

The University of Luxembourg, a modern and international research university, is offering a postdoctoral position in SLAM (Simultaneous Localization and Mapping) and situational awareness for robotics. The successful candidate will join the Automation & Robotics Research Group (ARG) within the Interdisciplinary Centre for Security, Reliability and Trust (SnT), contributing to advanced research in perception, situational understanding, and autonomous systems. The research group is led by Dr. Jose Luis Sanchez-Lopez and Prof. Holger Voos, both recognized experts in robotics and automation. This postdoc role focuses on developing and implementing innovative solutions in SLAM, situational awareness, computer vision, machine learning, and robotics. The candidate will validate research through real datasets and experiments on state-of-the-art robotic platforms, and disseminate findings via publications in top-tier journals and conferences such as IEEE RA-L, Elsevier RAS, ICRA, and IROS. Responsibilities also include leading research projects, preparing deliverables, collaborating with stakeholders, and contributing to research proposals for industry partnerships and European grant funding. The postdoc will mentor PhD students and co-author publications, fostering a collaborative and high-impact research environment. Applicants should have a strong research background in SLAM, robotics, computer vision, machine learning, or related fields, with a proven publication record in leading conferences and journals. Essential skills include a solid mathematical foundation, practical robotics experience, and proficiency in Python and/or C++. Familiarity with robotics frameworks (ROS), optimization-based frameworks (GTSAM, G2O), computer vision tools (OpenCV), and deep learning frameworks (PyTorch, TensorFlow) is required. Experience with industry or publicly funded research projects is highly desirable. Candidates must demonstrate fluent English communication skills and possess soft skills such as motivation, creativity, and teamwork. The University of Luxembourg offers a fixed-term contract for 24 months, with a competitive yearly gross salary of EUR 85,176. The institution is known for its multilingual and international character, modern facilities, and strong ties to industry and European institutions. The campus provides a dynamic and inclusive environment, welcoming staff from over 90 countries and promoting equality and respect for all employees and students. To apply, candidates must submit an online application through the University of Luxembourg HR system, including a full CV, academic qualifications, publication list, research and technical skills description, contact details for two referees, and a cover letter. Optionally, applicants may include a short video introduction. Early applications are encouraged, as review will begin upon receipt. Applications by email will not be considered. This is an excellent opportunity for motivated researchers to advance the state-of-the-art in robotics and autonomous systems, collaborate with leading experts, and contribute to impactful projects in a vibrant European research environment.

The University of Luxembourg, a modern and international research university, is offering a fully funded PhD position in Learning-Based Robot Motion within the Interdisciplinary Centre for Security, Reliability and Trust (SnT). The Automation & Robotics Research Group is seeking a motivated doctoral researcher to join the PCS-GRAPHS project, which focuses on integrating situational awareness, planning, and control for autonomous robots using advanced S-Graphs and XS-Graphs. This project is funded by the Luxembourg National Research Fund (FNR) and aims to develop novel multilayered approaches for robot motion planning and control, leveraging both model-based and learning-based solutions. The research will involve extending situational awareness models to XS-Graphs, incorporating probabilistic graphical models such as factor graphs, and fusing multimodal sensor information at different abstraction layers. The PhD candidate will contribute to the development of semantic planning, plan decomposition, and dedicated controllers (e.g., model predictive control) for efficient planning and control on subsegments of the XS-Graph. The approach will be validated through simulations, experiments, and demonstrations using drones, legged, and humanoid robots in state-of-the-art laboratories. The successful candidate will work under the supervision of Professor Holger Voos, collaborating with national and international partners including INRIA Rennes, University of Zaragoza, TU Munich, and University College London. Responsibilities include disseminating research findings at top international conferences (ICRA, IROS), supervising Master and Bachelor students, and assisting with project organization. Applicants should have a strong academic background in robotics, computer science, mechatronics, mechanical or electrical engineering, or applied mathematics. Essential skills include experience in motion planning and control, SLAM, reinforcement and deep learning in robotics, probabilistic approaches, and programming proficiency in Python, C/C++, ROS, and ROS2. Matlab and AI/ML tools are advantageous. Candidates must demonstrate at least B2-level proficiency in the thesis language and possess outstanding academic records, teamwork experience, and preferably international exposure. The position offers a fixed-term contract of 36 months (extendable to 48 months), a yearly gross salary of EUR 41976, and access to high-quality equipment and infrastructure. The University of Luxembourg promotes an inclusive culture and encourages applications from individuals of all backgrounds. Applications should be submitted online via the HR system, including a CV, publication list, portfolio, cover letter, and transcript. Early applications are encouraged as review is ongoing.