Inserat online seit: 16 Juni
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About us
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
The Interdisciplinary Centre for Security, Reliability and Trust ( SnT ) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.
We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications.
Join the defence research project "Autonomous Guided Vehicle Multi-role Defence Platform" (AGVMDP) in collaboration with the company Luxbotix. This project aims to design, build, and validate a 2-ton, fully electric, solar-powered Autonomous Ground Vehicle (AGV) for European defence applications, including autonomous logistics, casualty evacuation (MedEvac), counter-UAS, EOD/demining, and distributed ISR (Intelligence, Surveillance, Reconnaissance).
The AGV will operate in GNSS-denied and electronically contested environments, leveraging Vision-Language-Action (VLA) models, multi-sensor fusion (LiDAR, radar, cameras, IMU), semantic SLAM, and EW-resilient mission planning. The platform will feature modular payload interfaces, energy autonomy via solar power, and explainable AI for operator trust and compliance with defence standards.
Your role
As a Research Associate (Postdoc) in the Ubiquitous and Intelligent Systems (UBIX) Research Group, you will coordinate SnT's research team and collaborate with Luxbotix engineers to transition research into operational systems. Your responsibilities will include:
Core Research & Development
Develop semantic perception modules using VLMs/VLA models, e.g., RobustVLA, ReinboT, OpenDriveVLA, to classify terrain, obstacles, and mission-relevant objects in real time
Design GNSS-free localisation systems leveraging semantic map-matching, visual odometry, and pre-loaded satellite imagery for loop closure and pose estimation
Implement multi-sensor fusion pipelines (LiDAR-radar-camera-IMU) for SLAM and environmental awareness in GNSS-denied conditions
Adapt hierarchical mission planners to decompose high-level defence missions into executable, EW-resilient tasks
Optimize algorithms for embedded deployment (ROS II, Python/C++) on the AGV's onboard computers, balancing computational efficiency and robustness
Collaboration & Validation
Work with Luxbotix to integrate autonomy software into prototype AGVs, ensuring seamless hardware-software interaction
Validate systems through simulation, controlled lab tests, and field trials, including EW jamming campaigns
Contribute to documentation, safety cases, and test reports for defence stakeholders - Luxembourg MoD, NATO, EDA
Support mission equipment integration, e.g., MedEvac stretchers, EOD tools, counter-UAS sensors, and operational scenario testing
Dissemination & Impact
Publish cleared research in conferences/journals, e.g., ICRA, IROS, RSS, CVPR, or defence-specific venues
Mentor junior researchers and engineers, fostering knowledge transfer between SnT and Luxbotix
Your profile
PhD in Computer Science, Robotics, AI, or a related field (completed)
Background in one or more of the following:
Vision-Language Models or Vision-Language-Action models for autonomous systems
Multi-sensor fusion (LiDAR, radar, cameras, IMU) and SLAM, e.g., ORB-SLAM, LIO-SAM
Semantic perception - object detection, segmentation, scene understanding
GNSS-denied navigation - visual odometry, map-matching, terrain-based localisation
Mission planning for autonomous robots - hierarchical task networks, re-planning under uncertainty
Proficiency in Python/C++ and experience with ROS
Experience with deep learning frameworks, e.g. PyTorch, TensorFlow, and LLMs/VLMs
Publication record in autonomous systems, robotics, or AI conferences/journals
Language Skills: Fluent written and verbal communication skills in English are required. French, German or Luxembourgish is a plus.
Important Note: Due to the specific requirements for this position and due to the constraints of the project, please note that we are only able to consider applicants from EU EEA/EFTA countries, or from NATO Allied nations, or from NATO Indo-Pacific Partners (Australia, Japan, Rep South Korea, New Zealand).
We offer
A modern, dynamic university with a personal and inclusive atmosphere. Multilingual and international character. Staff coming from more than 90 countries. Member of The Guild of European Research Intensive Universities
An exceptional research environment, supported by skilled staff and high-quality equipment. Strong links to professional sectors and the Luxembourg labour market. A unique urban campus with excellent infrastructure
A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and a wide range of non-academic partners including ministries, local governments, associations, and NGOs
How to apply
Applications should include:
Curriculum Vitae
Cover letter detailing your motivation for applying to the advertised research topic and/or project, including how your background, interests, and career goals align with its objective
PhD diploma or a letter/information indicating the expected defense date
Transcript of all modules and results from university-level courses taken
List of publications
Research statement and topics of particular interest to the candidate (300 words)
Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.
All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.
General information:
Contract Type: Fixed Term Contract 24 Month
Work Hours: Full Time 40.0 Hours per Week
Location: Kirchberg Campus
Internal Title: Postdoctoral researcher
Job Reference: UOL08227
The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 85176 (full time).
