The University of Luxembourg, specifically the Parallel Computing and Optimisation Group led by Assistant Professor Grégoire Danoy, is seeking a Postdoctoral Researcher to join their team at the Interdisciplinary Centre for Security, Reliability and Trust (SnT). The research focus is on AI-driven autonomous drone swarms, with an emphasis on multi-agent reinforcement learning, swarm intelligence, and the development of autonomous systems. This opportunity is ideal for candidates interested in shaping the future of airspace protection through advanced artificial intelligence and robotics research. The successful candidate will work on cutting-edge topics such as algorithm development, simulation, and prototyping of autonomous swarm systems. The position is open to applicants from EU/EEA/EFTA countries, NATO Allied nations, or NATO Indo-Pacific partners (Australia, Japan, Republic of Korea, New Zealand), in accordance with project requirements. The University of Luxembourg is a leading European research institution, and this role offers the chance to collaborate with a dynamic team in a highly interdisciplinary environment. Applicants should have a strong background in multi-agent reinforcement learning, swarm intelligence, and autonomous systems. The post does not specify detailed degree or experience requirements, but a relevant PhD and research experience in these areas are typically expected for postdoctoral roles. No explicit funding or salary information is provided in the announcement. To apply, candidates must submit their application via the official University of Luxembourg recruitment portal. Please ensure you meet the eligibility criteria before applying. For more information about the group and the research environment, you may refer to the LinkedIn profile of Grégoire Danoy or the university's official website.

The University of Luxembourg, a leading international research university, offers a postdoctoral position in Swarm Intelligence and Reinforcement Learning for Autonomous Robotics. The role is based at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), specifically within the Parallel Computing and Optimisation Group (PCOG) led by Prof. Grégoire Danoy. The PCOG group specializes in parallel computing, search and optimization techniques, and provides robust solutions to large-scale combinatorial problems. This postdoctoral opportunity is part of the FEderated droNe Countering system (FENCE) project, a collaboration between the University of Luxembourg and Luxembourg Tech School. The project aims to develop a unique swarm-based counter-UAS approach, enabling autonomous generation and continuous adaptation of protective swarm behaviors. The successful candidate will lead research in Swarm Intelligence and Machine Learning, focusing on counter drone swarm formation and defense. Responsibilities include designing and conducting experiments in both simulation environments and real-world deployments using nano-drones at the University's SwarmLab, disseminating research outcomes through top-tier publications, contributing to research proposal writing, and mentoring PhD students and assistants. Applicants must have a PhD in a relevant discipline (computer science, applied mathematics, operations research), strong expertise in exact and/or approximated methods, meta-heuristics, and/or machine learning, proven experience in research proposal writing and project management, and solid software development skills in Python (C/C++ is a plus). Fluency in English, commitment, creativity, and teamwork skills are essential. Experience in embedded systems, robotics, or cybersecurity is desirable. Due to project constraints, only applicants from EU EEA/EFTA countries, NATO Allied nations, or NATO Indo-Pacific Partners (Australia, Japan, Republic of South Korea, New Zealand) are eligible. The University of Luxembourg offers a modern, dynamic, and international environment with high-quality equipment and infrastructure. The postdoctoral contract is for 24 months, with a yearly gross salary of EUR 85,176. The institution promotes an inclusive culture and encourages applications from individuals of all backgrounds. To apply, candidates should submit their application online via the University of Luxembourg HR system, including a CV, cover letter, PhD diploma or expected defense date, transcript of university-level courses, and a list of publications. Early applications are encouraged as review begins upon receipt. Applications by email will not be considered.