Research Associate in optimisation/machine learning for autonomous systems

SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.

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!

The successful candidate will join the Parallel computing and Optimisation Group (PCOG) research group, led by Dr. 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. PCOG’s expertise ranges from the design of novel optimisation, swarm intelligence and machine learning algorithms, to their implementation on massively multi-core systems (CPUs), accelerators (GPUs) and mobile systems (e.g., drones). The main application domains include industry 4.0, FinTech, HPC, cloud and data analytics, smart cities and autonomous robots swarms.

This is a 2-year fully funded postdoctoral position within the Parallel computing and Optimisation Group (PCOG). PCOG has long term research expertise in designing and experimenting optimisation and machine learning techniques to tackle problems in the field of autonomous systems, such as mobility management and autonomous robot swarms.

The Research Associate will conduct cutting-edge research in optimisation and machine learning, with a special focus on automated algorithm design, to tackle mobility challenges in the field of autonomous systems for land and air.

The position holder will be required to perform the following tasks/will do research on the following topics

• Carry out research in the predefined areas
• Participating in project proposals writing
• Disseminate results in top scientific venues
• Providing guidance to PhD and MSc students
• Participating to the teaching activities
• Present results in international conferences and workshops

• A PhD degree in Computer Science, Applied Mathematics or a related field
• Experience in optimisation and/or swarm intelligence algorithms
• Experience in machine learning algorithms
• Experience in robotics (preferably drones) is a plus
• Experience in high-performance computing (HPC) is a plus
• Sound publication track record in relevant international conferences and top journals
• Highly committed, excellent team-worker, and strong critical thinking skills
• Excellent written and verbal communication skills in English

• Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better
• The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 55 industry partners
• Be part of a multicultural family. At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more