R&D Specialist - Swarm Intelligence & Reinforcement Learning

About the SnT

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.

Your role

The FEderated droNe Countering system (FENCE) project is a collaboration between the University of Luxembourg - SnT and Luxembourg Tech School (LTS). It aims to propose a unique swarm-based counter-UAS approach enabling autonomous generation and continuous adaptation of protective swarm behaviours.

We are seeking an outstanding Research and Development Specialist to strengthen the research team in the area of Swarm Intelligence, Reinforcement Learning and Optimization Techniques. As a Research and Development Specialist, you will:

• Conduct cutting edge research and development in Swarm Intelligence and Machine Learning, addressing challenges in counter drone swarm formation and defense
• Design, develop and conduct experiments of drone swarms using both simulation environments and real-world deployments with the nano-drones of the University's SwarmLab

The research activities will be hosted by the Parallel Computing and Optimisation Group (PCOG) at SnT, headed by Prof. Grégoire Danoy. PCOG conducts research in parallel computing, search and optimisation techniques, to provide efficient, scalable and robust solutions to state-of-the-art, large-scale discrete/combinatorial problems. Detailed information about the group can be found on the PCOG website.

Your profile

Required qualifications and experience:

• Master in any discipline relevant to this area of research e.g. computer science, applied mathematics, operations research
• Strong expertise in exact and/or approximated methods, meta-heuristics and/or machine learning,
• Solid software development skills in Python; C/C++ is a plus
• Fluency in English is required
• Commitment, creativity, and teamwork skills

Desirable assets:

• Experience in embedded systems or robotics is a plus
• Experience in cybersecurity is a plus

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

• 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 …

How to apply

Applications should include:

• Detailed CV (contact address, studies with grades, work experience, publication list)
• Cover letter

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.

The University of Luxembourg is committed to achieving gender parity among its staff. Should candidates present equivalent profiles, preference will be given to female candidates in all departments where gender parity is not yet achieved.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

General information:

• Contract Type: Fixed Term Contract 12 Month
• Work Hours: Full Time 40.0 Hours per Week
• Location: Kirchberg Campus
• Internal Title: Research and development specialist
• Job Reference: UOL08024

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