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source

Jose Luis Sanchez-Lopez

4 months ago

Postdoc in SLAM & Situational Awareness for Robotics University of Luxembourg in Luxembourg

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Expired

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Country

Luxembourg

University

University of Luxembourg

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Keywords

Computer Science
Mathematics
Computer Vision
Mobile Robotics
Situational Awareness
Human Perception
Optimisation
Robotics
Ro
Autonomous System
Machine learning

About this position

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.

Funding details

Available

What's required

Applicants must have a research background in at least one of the following: SLAM, situational awareness, robotics, computer vision, machine learning, or a related area. A proven record of publications in leading (1st quartile) conferences and journals in robotics is required. Candidates should possess a solid mathematical foundation and practical robotics experience, strong programming skills in Python or C++, and familiarity with robotics frameworks (ROS), optimization-based frameworks (GTSAM, G2O), computer vision frameworks (OpenCV), and/or deep learning frameworks (PyTorch, TensorFlow). Prior experience with industry or publicly funded research projects is highly desirable. Applicants must demonstrate fluent written and verbal communication skills in English. Soft skills such as commitment, motivation, creativity, flexibility, and teamwork are expected.

How to apply

Apply online through the University of Luxembourg HR system using the provided application link. Applications by email will not be considered. Submit a full CV, cover letter, list of publications, academic qualifications, description of research experience, programming skills, two referees, and optionally a short video introduction. Early application is encouraged as applications are processed upon reception.

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