Research Associate (PostDoc) in Simultaneous Localization and Mapping (SLAM) and Situational Awareness for Robotics

Your role

The successful candidate will join the Automation & Robotics Research Group (ARG), contributing to the situational awareness research line for robots and autonomous systems led by Dr. Jose Luis Sanchez-Lopez.

The position holder will perform the following tasks:

• Conduct cutting-edge research in perception and situational understanding, advancing the state-of-the-art in SLAM, situational awareness, computer vision, machine learning, robotics, and related fields
• Developing and implementing innovative solutions, validated through real datasets and experiments on our robotic platforms
• Disseminating research findings through publications in leading peer-reviewed journals (e.g., IEEE RA-L, Elsevier RAS) and top conferences (e.g., ICRA, IROS), and engaging in outreach events
• Take a leading role in research projects, prepare project deliverables and collaborate with stakeholders
• Being involved in the preparation of research proposals to secure industry partnerships and attract national and European grant funding
• Mentor and being involved in the supervision of PhD students on an everyday basis, offering guidance and support in their research, while co-authoring publications

For further information, please contact Dr. Jose Luis Sanchez-Lopez (joseluis.sanchezlopez@uni.lu) or Prof. Holger Voos (holger.voos@uni.lu).

Your profile

We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!

Experience and technical skills:

• Research background in at least one of the following topics: simultaneous localization and mapping (SLAM), situational awareness, robotics, computer vision, machine learning, and/or related area
• Proven record of publications in leading (1^st quartile) conferences and journals in the field of robotics
• Solid mathematical foundation paired with practical robotics experience
• Strong programming skills in (at least one of) Python/C++
• Familiarity with robotics frameworks like ROS; optimization-based frameworks such as GTSAM, G2O, or similar; computer vision frameworks like OpenCV; and/or deep learning frameworks such as PyTorch and TensorFlow
• Prior experience with industry or publicly funded research projects is highly desirable

Soft and transferable skills:

• Strong commitment, motivation, and ambition to produce high-impact research for top-tier journals and conferences
• Self-initiative, creativity, curiosity, flexibility, and enthusiasm for research
• Collaborative team player with a strong drive to lead projects and teams toward impactful results
• Analytical mindset for designing, implementing, and refining high-quality solutions to address complex challenges

Language skills:

• Fluent written and verbal communication skills in English are required

We offer

• Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR)
• A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
• A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …